Nothing Special   »   [go: up one dir, main page]

SSRN Id3678752

Download as pdf or txt
Download as pdf or txt
You are on page 1of 21

Rational Organizational Structure: For Brick-and-Mortar

Lifestyle Retailers in India to Overcome Diseconomies of


Scale and Protect Firm’s Sustainability (ROLS-b)
H. R. Ganesha1 & P. S. Aithal2
1
Chief Executive Officer – Consulting Division, Gramss Retail Trading Private Limited,
Bengaluru - 560078, India and Post-Doctoral Research Fellow, College of Management &
Commerce,
Srinivas University, Mangalore – 575001, India. OrcidID: 0000-0002-5878-8844;
E-mail: hrganesha@yahoo.co.in
2
Vice Chancellor, Srinivas University, Mangalore – 575001, India.
OrcidID: 0000-0002-4691-8736; E-mail: psaithal@gmail.com
August 2020

ABSTRACT
A majority of organized brick-and-mortar lifestyle retailers in India believe that the brick-and-
mortar retailing model ensures economies of scale as they keep opening new stores. Having
more stores might help retailers to gain product sourcing advantages in addition to generating
additional revenue to the firm but at the same time, it fails to provide any other benefits towards
economies of scale as every new store comes with new one-time capital expenditures and
recurring fixed expenses. Another misconception is that lifestyle retailing must follow an
organizational structure (OS) that is adopted by their parent company and hence a majority of
OS adopted by lifestyle retailers in India is dependent on organizational form. This study was
not limited to just recommending a rational OS based on exploratory research and existing
theories in the OS domain. Once the ROLS-b was designed, we have experimented with the
proposed rational OS on one of the ten lifestyle retailers in the study to test the validity and
reliability. Experimentation results empirically and qualitatively demonstrate that the existing
belief of brick-and-mortar lifestyle retailers in India which assumes economies of scale and
long-term firm’s sustainability as the retailer increases the store count is just a misconception
and does not hold. On the other hand, when we experimented the ROLS-b for over twelve
months at over 25 percent stores of a select retailer, results demonstrate that these stores which
have gone through the treatment have shown 5.34 times improvement in the store-level profit
and 1.97 times in the firm-level profit in addition to eliminating a majority of gaps found in the
existing OS that was leading to diseconomies of scale and deteriorating firm’s performance.

Keywords: Indian Retail; Brick-and-Mortar Retail; Lifestyle Retail; Firm’s Sustainability;


Sustainable Business; Organizational Structure; Diseconomies of Scale; Organizational Form;
Degree of Integration; Atmospheric Consequences; Bureaucratic Insularity; Incentive Limits;
Communication Distortion; Bounded Rationality; ROLS-b
1. INTRODUCTION:
Lifestyle Retailing in India: Owing to the sheer market size and potential, India has attracted many
Global lifestyle brands who have successfully become lifestyle retailers too. Few Global retailers have
attempted to offer their product assortment as being an SIS at select large MBO stores, few have offered
their product assortment through having EBOs, few have shown their presence only in online stores and
1

Electronic copy available at: https://ssrn.com/abstract=3678752


few have licensed their brands to third parties or entered into a Joint Venture to offer their products in
Indian retail market. To name a few Decathlon, Lifestyle, Max, Levi’s, Zara, United Colors of Benetton,
Marks & Spenser, H&M, Mother Care, Carter’s, Puma, Nike, Adidas, Reebok, Armani Exchange,
Diesel, Gas, Gap, The Children’s Place, Quiksilver, Superdry, Kappa, Bossini, Calvin Klein, Hanes,
Tommy Hilfiger, Ed Hardy, Izod, Nautica, Arrow, U.S. Polo Assn, Jack & Jones, Vero Moda, Tumi,
Lee, Hero, Maverick, Wrangler, Fila, and Jockey. India also is a home for a vast number of lifestyle
brands originated from India. One can list more than 5000 lifestyle brands in India [1], of which one
could list only a few which can be tagged as well-known/familiar/reputed Indian lifestyle brands cum
retailers such as, Biba, Manyavar, Soch, Gini & Jony, Blackberrys, Louis Phillipe, Peter England,
Provogue, Monte Carlo, Mufti, W for Women, Oxemberg, Indian Terrain, Global Desi, Parx, S Kumar’s,
Vimal, Mini Klub, Aurelia, Sparx, Campus, Go Colors, Enamour, HiDesign, Lino Perros, Idee, Spykar,
Killer Jeans, Flying Machine, Da Milano, Park Avenue, Ethnix, ColorPlus, Lux Cozy, WildCraft, 612
League, WLS, John Players, Fastrack, 109 F, Proline, Image, Jealous 21, Liberty, Paragon and few more.
Few of these are successful in becoming organized lifestyle retailers catering to specific product
categories and specific consumer groups. Few companies have been able to establish themselves as
purely organized lifestyle retailers who cater to multi-category, multi-brand, multi-location, and multi-
consumer groups and one can list all of them as there are only a few National level retailers such as a)
Westside, b) Shoppers Stop, c) Central, d) FBB e) First Cry, f) Toons, g) Wildcraft, h) Indian Terrain, i)
Pantaloons, j) Brand Factory and few Regional level retailers such as, a) Kapsons, b) Ritu Wears Big
Life, c) Stanmax, d) Bindals, e) Sohum Shoppe, f) City Life, g) Chunmun, h) Jade Blue, i) Neeru’s, j)
Mebaz, k) V-Mart, l) The Chennai Silks, m) Saravana Stores, n) M&M, o) Sirs & Hers, p) Juelle, q) G3
Fashions, r) Pothy’s, s) RMKV, t) Naidu Hall, u) Chandana Brothers, v) Nalli and w) Kalyan Silks.
Dominantly a majority of lifestyle retailers in India offer just one of the groups such as a) product-
specific; b) gender-specific; c) need-specific; d) fashion-specific; e) function-specific; f) category-
specific; g) life stage-specific; h) occasion-specific, and very few cater to multiple products offering to
multiple consumer groups. Each individual wants to have a unique identity that could be based on his/her,
a) background such as nationality, ethnicity, culture, subculture, social class, affiliation, environment,
etc; b) experiences and c) choices. Lifestyle brands attempt to evoke emotional connections between
consumers and they need to have a unique identity and most importantly lifestyle brands are increasingly
becoming one of the key components of consumer’s self-expression [2].
To ensure the scope of this study is focussed, we define lifestyle retailers as the ones, who attempt to
offer a complete solution for a specific or wider lifestyle needs of consumers through their products such
as Apparel, Footwear, Accessories, and Lifestyle Essentials with an ultimate goal of their products being
key contributors of an implicit or explicit statement of consumers personality and identity. Lifestyle retail
market size in India is expected to reach 130 billion USD by the year 2023 which is a 77 percent growth
when compared to the year 2013 [3]. Based on India’s 2011 census, the United Nation’s (UN)
Department of Statistics and Program Implementation estimates the Indian population to reach close to
1.38 billion by the year 2020 [4]. It is estimated that more than 300 Global lifestyle brands have plans to
open their stores in India this year [5]. Organized retailing in India is expected to have approximately 25
percent of the market share by the year 2021 which was at 12 percent in the year 2017 [6]. In addition
to this humongous population, exponential growth in several working women, double-income families,
middle-class consumer segment, increasing disposable income, rapid adoption of fashion, urbanization,
the overall size of Indian retail industry, more and more unorganized retailers becoming organized, the
emergence of modern retailing formats and most importantly, an enormous increase in internet
penetration/usage, simply caution existing and upcoming lifestyle retailers in India to revisit their
existing OS.
Organization Structure of Lifestyle Retailers in India: Unlike lifestyle retailers in the developed
countries, market penetration of organized lifestyle retailers is still low in India. This could be one of the
reasons for the absence of the adoption of a standard OS by the lifestyle retailers in India. A majority of
2

Electronic copy available at: https://ssrn.com/abstract=3678752


OS of lifestyle retailers in India is driven by the principal/original business nature of the parent group
such as a) Manufacturing-Centric Retailers (example: Relaxo Footwear); b) Brand-Centric Retailers
(example: Toonz) ); c) Store-Centric Retailers (example: FBB); d) Investors-Centric Retailers (example:
First Cry); e) Conglomerate-Centric Retailers (example: Westside); f) Global Expansion-Centric
Retailers (H&M); g) Family-Owned Retailers (example: Biba); h) Product-Centric Retailers (example:
Me & Moms). Despite any empirical pieces of evidence, the belief is that the brick-and-mortar retailing
model ensures economies of scale as the retailer increases the store count. Having more stores might
help retailers to gain product sourcing advantages in addition to generating additional revenue to the firm
but at the same time, it fails to provide any other benefits towards economies of scale as every new store
comes with new one-time capital expenditures and recurring fixed expenses. It is fine to adopt an OS
that is aligned with the basic principles and nature of the key investor. However, to ensure long term
sustainability of a lifestyle retail firm in addition to conquering diseconomies of scale it is recommended
to adopt a Consumer-Centric organization structure. In this exhaustive study, we intend to design a
standard organization structure that is rational and consumer-centric and appropriate in the Indian
context.
2. LITERATURE REVIEW:
Diseconomies of Scale: The literature on diseconomies of scale can be traced back to the year 1937
when Coase described it as a result of three key attributes such as i) cost of determination or planning;
ii) cost of resource misallocation; iii) cost of lack of motivation [7]. Later in the year 1975 Williamson
for easier operationalization categorized diseconomies of scale into i) ‘atmospheric consequences’ that
refer to as the size of the firm expands the tendency of increase in specialization increases which makes
it hard for the employees to understand the key purpose of corporate activities; ii) ‘bureaucratic
insularity’ that refer to as the size of the firm expands the accountability of senior management team
reduces over results of lower ranks of the organization in addition to making senior management team
insulated from reality and making them focus on maximizing their personal benefits rather than the
overall firm’s performance; iii) ‘incentive limits of the employment relation’ that refer to as the size of
firm expands the incentive systems or employees tend to change towards tenure and position based rather
than merit based incentives which puts larger firms at a disadvantage as compared to smaller firms; iv)
‘communication distortion due to bounded rationality’ that refer to as the firm expands the hierarchical
layers in the organization also increase which makes it inevitable to communicate without distortion and
significantly reduces the ability of senior management personnel to make decisions based on facts [8-9].
However, Williamson’s first and second categories of diseconomies of scale broadly correspond to the
cost of determination/planning, third to the cost of demotivation, and the fourth to the cost of resource
misallocation conceptualized by Coase. Few studies whether or not explicitly specifying the term
diseconomies of scale have identified factors that have negative consequences in addition to leading to
diseconomies of scale thereby limiting the overall growth of a firm that corroborate with Williamson’s
theoretical conceptualization of diseconomies of scale such as i) rigidity to change [14], excessive
rigidity [15], unexplained wage differential [16], insularity [17], R&D cost control [18], alienation [19],
low job satisfaction in large organizations [20], rigidity [21], insularity from reality [22], monitoring
costs and inadequate effort levels [23], cost-consciousness [24], and low motivation levels [25] under
the ‘atmospheric consequences’ category; ii) risk aversion [26], firm age leads to insularity [27],
organizations larger than optimum [28], owner-manager conflict of motivation [29], increase in
administration [30], poor understanding of changing market needs by the R&D [24], perpetuation of
organization form [31], and bureaucratic rigidity [32] under the ‘bureaucratic insularity’ category; iii)
R&D incentives [18], low productivity in R&D [33], employment contracts [34], quality of R&D
employees [24], limits to entrepreneurship [35], weaker incentives in bureaucracies [32], and
employment contract disincentives in R&D [36] under the ‘incentive limits of employment relation’
category; iv) specialization leading to poor communication [14], information loss [37], communication
losses [38], R&D coordination levels [18], information signal delays [39], lower efficiency levels [40],

Electronic copy available at: https://ssrn.com/abstract=3678752


control-loss [41], and processing bottlenecks [13] under the ‘communication distortion due to bounded
rationality’ category. While these four categories of diseconomy of scale affect the expansion,
performance and long term sustainability of a particular firm two important factors could offset the
diseconomies of scale and are central to transaction cost economics such as i) ‘organization form’ that
refer to adopting organization forms appropriate for the business; ii) ‘degree of integration’ that is
determined by three key factors such as a) uncertainty; b) frequency of transactions; c) asset specificity
of which asset specificity is an important driver of the integration [8-14]. Both these moderators are core
to this study in addition to becoming basic pillars of the rational organization structure (ROSE-b) we are
intending to design to help organized brick-and-mortar lifestyle retailers in India to overcome
diseconomies of scale and protect their long term sustainability.

Organizational Structures: A majority of lifestyle retailers in India have adopted organization


structures that are determined by their organizational form. OS can be defined as the design/framework
that specifies as to how overall organizational aims/goals are achieved through a) allocation of tasks to
each employee, b) coordination methods among employees, and c) supervision/hierarchical levels. One
can find many different types of OSs in the literature such as i) ‘simple structure’ that refer to direct,
informal and low-complex structures; ii) ‘functional structure’ that refers to classifying activities based
on logical similarities; iii) ‘multidivisional structure’ that refer to creating divisions within a firm
responsible for general administration of different functions; iv) ‘matrix structure’ that is composed of
functional and multidivisional structures; v) ‘hybrid structure’ wherein different OSs are adopted based
on their relevance and need for adoption together by a firm; vi) ‘network structure’ adopted by firms that
are involved in products and services with short life cycles, faced with rapid changes in the technology
and servicing dispersed/specialized markets; vi) ‘bureaucratic structure’ that rely on standard operating
procedures, governance methods and mostly adopted by large conglomerates; vii) ‘team-based structure’
in which a majority of decisions are decentralized; viii) ‘virtual structure’ that is mostly centralized in
terms of structure and rarely has specialized divisions; ix) ‘no boundary structures’ wherein the usual
commanding hierarchy is eliminated. It is not just about the type of OS, what is also important is the
structural model that is based on six key hypotheses such as i) the firms exist to achieve certain
predetermined goals; ii) structural form is based on a specific set of conditions; iii) a firm is effective
when the environment confusion and individual priorities/differences are restricted by reasoning norms;
iv) specialization might enable high-level of individual performance; v) structured coordination and
predefined control systems are necessary to achieve effectiveness; vi) firms’ s inefficiencies are found
and can be solved by restructuring or development of new systems. It is also inevitable to understand the
factors that determine an OS such as i) firms short-term and long-term strategy; ii) physical capacity of
an organization; iii) existing employees in an organization; iv) organization’s input and output scope; v)
financial and materialistic resources of an organization [42-45].

Firm’s Sustainability: ‘Sustainability’ as an area of research has attracted a large number of researchers
wherein a majority of the studies have focussed on sustainability concerning the environment and very
few have focussed on the firm’s sustainability. Despite various researchers defining a firm’s
sustainability from different perspectives, we found Wirtenberg, Harmon, Russell, and Fairfield’s
definition suitable for our study. They define a firm’s sustainability as a 'company's ability to achieve its
business goals and increase long-term shareholder value by integrating economic, environmental, and
social opportunities into its business strategies' [46]. We believe that the term ‘company’s ability’ in this
definition though looks simple has a larger meaning that indicates firm’s capability in adapting rational
Marketing Mix that is driven by a well-defined OS and optimized degree of integration that is inevitable
to achieve firm’s long-term sustainability that encompasses economical, environmental and social
interests. In addition to achieving a rational mix of “4P’s” such as product, price, promotion, and place
what determines the long term sustainability of a lifestyle retailing firm is how their OS is designed that
ensures i) equal and high weightage to overall store performance-related key result areas (KRAs) and

Electronic copy available at: https://ssrn.com/abstract=3678752


key performance indicators (KPIs) for all the employees in the organization irrespective of the
department/function they represent; ii) systematic empowerment of store employees; iii) systematic
decentralization of control systems [47]. Past studies have indicated a few key factors that influence the
overall firm’s sustainability and success such as a) the role of human resource development [48]; b)
creativity and innovations [49]; c) situational leadership style [50]; d) organizational capabilities [51]; e)
stakeholder influences [52]; f) business practices [53]; g) ability to face changing market environments
[54]; h) effective conversations-for-action [55]; i) strategic change [56]; j) management capabilities to
efficiently use resources (physical, human and financial) [57]; k) architypes of organization [58]; l)
leadership effectiveness [59]; m) rightsizing of human resources [60]; n) leadership styles [61]; o)
competitive dynamics and strategic consistency [62]; p) humanistic and ethical approaches beyond
economic criteria [63]; q) employee attitudes [64]; r) relationships between the people inside and outside
the organisation [65]; s) perspectives of people in the bottom of the hierarchy on people above them in
the hierarchy [66]; t) switch leadership [67]; u) strategic planning [68]; v) reputation building [69]; w)
control-self assessment [70]; x) organizational culture [71]; y) market-orientation [72]; z) training [73-
74]; aa) sales personnel empowerment [75-76]; ab) sales pitch [77]; ac) performance measures whether
or not inputs-driven [78-79]; ad) consumer communication tactics [80]; ae) consumer orientation [81];
af) store image [82-84].

In a nutshell, a majority of past studies corroborate with our hypothesis that the OS plays an important
role in conquering diseconomies of scale and protecting a firm’s long-term economical sustainability
that would also indirectly improve environmental and social interests of a firm.
3. PURPOSE AND OBJECTIVES OF THE STUDY:
The prevailing assumption is that a majority of lifestyle retailers in India are bewildered with various
theories, perspectives, models, frameworks, and strategies available in the OS domain and hence, they
are not able to design an appropriate OS that can conquer diseconomies of scale and protect firm’s
sustainability. There is a wide gap in the understanding of interlinkage between theories, perspectives,
models, and frameworks available in the domain that is globally accepted as one of the most efficient
organizational designs. This gap can be reduced if we can demonstrate the correlation among various
theories, perspectives, models, and frameworks available in the existing literature with the empirical
pieces of evidence from India in this study and transpire the research outcomes into a rational OS design
which would then be useful for organized brick-and-mortar lifestyle retailers in India to design
appropriate strategies concerning organizational design. The need for this research indeed was originated
due to various gaps found in theoretical, descriptive, empirical literature available in the OS domain such
as i) a majority of studies have focussed on diseconomies of scale concept in a manufacturing context
and not service context; ii) a majority of studies have focussed on firm’s sustainability in the
environmental context and not enough studies focussed on economical contexts; iii) absence of an
integrated OS design for lifestyle retailers in the Indian context; iv) a majority of lifestyle retailers in
India follow and practice OS incorporated by consumer goods, hospitality and restaurant brands and
retailers, and, most importantly v) lifestyle retailers in India are unable to overcome diseconomies of
scale and protect firm’s long-term sustainability. The present study proposes to a) understand lifestyle
retailing market in India; b) understand evolution and performance of Indian lifestyle retailers; c)
understand the existing OS of a few select lifestyle retailers; d) evaluate congruity of existing
organization structure vis-à-vis diseconomies of scale and firm’s sustainability; e) analyze
recommendations from previous research studies appropriate in the Indian context; f) design a rational
OS that would help lifestyle retailers in India overcome diseconomies of scale and protect firm’s
sustainability; vii) test the ROLS-b framework in a real retail environment; viii) evaluate test results,
findings, and insights.
4. APPROACH AND METHODOLOGY:

Electronic copy available at: https://ssrn.com/abstract=3678752


Secondary Research: Intense and in-depth analysis of data available in the public domain was carried
to collect data relating to various aspects of lifestyle retailing in India through company websites,
company annual financial reports, Government database, trade, and business journals. Research works
relating to Indian lifestyle retailers and retailing were surveyed extensively to collect insights,
recommendations, and frameworks to understand their existing OS, economies of scale, and firm
sustainability in addition to an extensive review of theories, frameworks, and models available in the
literature.

Qualitative Primary Research: Series of open-ended direct interviews were conducted with employees
selected through convenience sampling representing different departments/functions of select lifestyle
retailers in India to understand their perspective and attitude towards existing OS, economies of scale,
diseconomies of scale, and firm’s sustainability.

Quantitative Primary Research: In the first stage, ten organized lifestyle retailers in India were
selected who can represent, a) different product categories such as fashion, functional, life-stage specific,
product-specific, gender-specific, and need specific products; b) offering single-product category and
multiple-product categories; c) serving different consumer target groups at low, mid-low, mid, mid-high,
high, and premium price positioning; d) having single and multiple stores; e) offering single brand and
multiple brands; f) having presence across Tier-1, Tier-2, and Tier-3 cities; g) having stores across the
high street, malls, institutions, and neighborhoods, h) organizational forms, and i) new and established
retail store image. The second stage was to evaluate the last 5 years' overall performance of firms. In the
third stage, 25 percent of the stores of one of the lifestyle retailers in the study were selected through
systematic random sampling to undergo experimentation wherein the proposed ROLS-b framework was
applied for twelve months’. In the fourth stage, all the data was collected before experimentation from
all the stores belonging to the control and experimental group. The fifth stage was to collect post-test
data from the control and experimental group of stores and in the last stage the collected data from pre
and post-tests periods were subjected to various statistical analyses and inferences were drawn.
5. EVALUATING EXISTING ORGANIZATIONAL STRUCTURE:
Qualitative: Before the empirical study, we were able to derive qualitative insights by conducting open-
ended direct interviews with employees representing all the departments/functions of different types of
lifestyle retailers chosen for the study. Chart 1 captures OS commonly adopted by the brick-and-mortar
lifestyle retailers in the study. The qualitative exploratory survey indicates that their existing OS has
many gaps that were leading to diseconomies of scale and deteriorating the firm’s profitability as listed
below.

a) Chief Executive Officer (CEO) or Managing Director (MD) had retained a majority of decision-
making authorities across departments and functions in the OS (Gap 1).
b) None of the functional heads (FH) were authorized to make strategic-level decisions and they
were limited to only tactical-level decision making (Gap 2).
c) Each FHs were specialists in their area and communication efficiency (conversations-for-action
among them was merely dependent on relationship and understanding among them (Gap 3).
d) All the FHs were horizontally integrated into the OS (Gap 4) with every function in the OS being
vertically integrated with department heads (DH) who have sub-specialization required for the
function.
e) Due to horizontal integration among FHs the coordination among DHs of various functions and
the efficiency of communication (conversations-for-action) was dependent on the relationship
and understanding among their respective FHs (Gap 5).

Electronic copy available at: https://ssrn.com/abstract=3678752


f) Except for CEO/MD, none of the employees across the hierarchy in the OS had KRAs and KPIs
that would measure the contribution of each employee towards the long-term sustainability of
the firm (Gap 6).
g) A majority of KRAs and KPIs of employees were focussed on measuring/penalizing/rewarding
them based on their functional/department level deliverables in silos (Gap 7).
h) Employees of Sales and Store Operations (SSO) function who was the face of the firm to
consumers and generate revenue for the firm were completely dependent on actions of FHs,
DHs, and employees of other functions and departments in the OS (Gap 8).
i) FH of SSO was the only one in the OS responsible for generating revenue and profit for the firm
and ensure generating revenue that would take care of a majority of operating expenses of the
firm (Gap 9).
j) The majority of CEO/MD’s time was spent on balancing relationships and communication issues
among FHs (Gap 10).
k) A majority of actions taken by Non-SSO functions were not understood by the SSO team
members thereby forcing them to distance from owning the results of such actions (Gap 11).
l) The word development was only limited to the title of Human Resource Development (HRD)
function and had little or no contribution towards the overall development of employees across
the OS (Gap 12).
m) The majority of HRD team time was spent on monthly payroll processing, recruitment, and
conducting annual performance evaluation/appraisal (Gap 12).
n) Training as a task was just a ‘tick-in-the-box’ activity for HRD (Gap 13).
o) A majority of strategy-making, decision-making, planning, actions, and control across ‘4P’s’ of
Marketing Mix were made by the employees of Non-SSO functions but the ownership of results
was completely shifted on to SSO function (Gap 14).

Board of Directors

Chief Executive Officer (CEO) / Managing Director (MD)

Head(s) of Head(s) of Retail


Head of Sale s and Head of Head of Supply Heads of Support
Category Merchandise Head of Finance
Store Ope rations Marketing Chain Functions
Management Planning

Category Category-Specific Regional Heads Advertisement Information


Warehouse Team Accounting Team
Management Team Planning Team Team Team Technology Team

Product Design & Region-Specific Territory / Cluster


CRM Team Logistics Team Audits Team Recruitment Team
Development Team Planning Team Managers Team

Product Sourcing Operational MIS Area Managers


Social Media Team Import Team Taxation Team Payroll Team
Team Team Team

Quality Assurance Store Managers Consumer Data Inventory Control Training &
Team Team Analytics Team Team Development Team

Office & Travel


Financial MIS
Sales Personnel Administration
Team
Team

New Store CEO/MD Office


Opening Team Team

Chart 1: Existing organizational structure

In summary, a majority of lifestyle retailers in the study were unaware of the role of OS in conquering
diseconomies of scale and protecting long-term firm’s sustainability. The existing OS was indirectly
forcing the retailers toward diseconomies of scale, besides, slowly losing their interest in the firm and
7

Electronic copy available at: https://ssrn.com/abstract=3678752


confidence in the brick-and-mortar retailing model as a whole (Gap 15). All the 15 gaps identified during
the exploratory qualitative primary research have been checked against the existing literature and shown
in table 1.

Table 1: Mapping gaps identified in the qualitative research with existing literature
Leading to
Affecting Firm's
S. No. Diseconomies of Conformity with the Literature
Sustainability
Scale
Gap 1   [7], [8], [29], [35], [57], [59], [61]
[7], [8], [9], [19], [29], [31], [35], [41], [51], [62],
Gap 2  
[64], [65], [69], [72], [80], [81]
Gap 3   [7], [8], [14, [49], [57], [71], [80], [81]
[7], [8], [14], [15], [17], [19], [20], [25], [26], [29],
Gap 4  
[30], [39], [62], [65], [69], [72]
[7], [8], [14], [23], [26], [37], [38], [39], [40], [41],
Gap 5  
[25], [64], [80]
[7], [8], [19], [25], [26], [34], [32], [47], [70], [77],
Gap 6  
[78], [79]

Gap 7   [7], [8], [34], [32], [47], [70], [77], [78], [79]
[7], [8], [16], [17], [23], [32], [40], [75], [76], [82],
Gap 8  
[83], [84]

Gap 9   [7], [8], [20], [21], [25], [26], [41], [77]


[7], [8], [17], [22], [26], [27], [32], [55], [58], [62],
Gap 10  
[65], [66]

Gap 11   [7], [8], [25], [40], [41], [77]

Gap 12   [7], [8], [48], [51], [57], [63], [65], [71],

Gap 13   [7], [8], [64], [65], [73], [74]

Gap 14   [7], [8], [17], [22], [31], [32], [47], [81]

Gap 15   [7], [8], [25], [29], [51], [52], [53], [62]

Empirical: Evaluating the last five years data of lifestyle retailers in the study as shown in table 2 and
chart 2 indicates that the firm-level profitability did not improve despite 117 percent increase in the store
count over five years in addition to not bringing any economy of scale advantages to firms. The glaring
observation was that the store count was significantly and negatively associated (R: -0.688 with a 2-
tailed sig value of 0.003) with the firm-level profitability, whereas the association with the store-level
8

Electronic copy available at: https://ssrn.com/abstract=3678752


profitability was insignificant (R: -0.037 with 2-tailed sig value of 0.005). In other words, these
associations were corroborating to the key hypothesis of our study, that is, any economies of scale that
is expected by the expansion of store counts would be lost if the OS is not rational and could also lead
to diseconomies of scale in addition to affecting firm’s long-term sustainability.

Table 2: Association among store counts, economies of scale, and the firm’s overall performance
Salary as
Growth in Salary as Retail Profit as
Percentage of
Store Headcount Mix Salary Mix Percentage of Percentage of
Overall
Year Count Revenue Revenue
Expenses
(year on
year) Firm Store
Non-SSO SSO Non-SSO SSO Non-SSO SSO Non-SSO SSO
Level Level
1 21.43% 14.07% 85.93% 57.50% 42.50% 7.41% 10.78% 11.96% 6.88% -14.65% -6.69%

2 15.29% 13.91% 86.09% 47.16% 52.84% 7.09% 10.99% 15.18% 7.16% -11.79% -9.60%

3 27.55% 15.91% 84.09% 52.11% 47.89% 6.93% 12.36% 15.08% 7.86% -14.83% -7.58%

4 8.00% 16.72% 83.28% 43.92% 56.08% 7.16% 10.40% 15.68% 6.89% -8.20% -0.67%

5 12.59% 15.21% 84.79% 40.23% 59.77% 8.28% 10.59% 16.58% 6.67% -15.14% -8.58%

30.00%

20.00%

10.00%

0.00%
1 2 3 4 5
-10.00%

-20.00%

-30.00%
Growth in Store Count Retail Profit as Percentage of Revenue Firm Retail Profit as Percentage of Revenue Store
(year on year) Level Level

Chart 2: Association among store counts, economies of scale, and the firm’s overall performance

Existing literature, exploratory qualitative primary finding, and empirical evaluation indicate that the
existing OS of select organized brick-and-mortar lifestyle retailers in India is irrational as it seriously
fails to gain economies of scale and protect firm’s long-term sustainability expected due to expansion in
addition to inducing loss of motivation and interest among all the stakeholders in the brick-and-mortar
lifestyle retailing model. This brings us to the key research problem as to a) is there a different way to
approach the OS, and if yes b) what could be a rational OS to overcome diseconomies of scale and protect
the firm’s long-term sustainability. Considering recommendations from past studies and insights from
this study we would now attempt to design a rational OS for organized brick-and-mortar lifestyle retailers
in India.
6. DEVELOPMENT OF ROLS-b :

Electronic copy available at: https://ssrn.com/abstract=3678752


Both qualitative and empirical findings unanimously indicate that the existing OS of select lifestyle
retailers is predominantly skewed in favor of the Non-SSO functions concerning ‘authority’ while the
majority of ‘responsibilities’ concerning overall firm’s performance being loaded on to SSO function
thereby creating a significant imbalance in the OS. It is a universally known phenomenon that an OS
must ensure ‘balanced authority-and-responsibility’ across all the levels in the hierarchy irrespective of
being integrated vertically or horizontally [85]. The key approach while designing the ROLS-b was to i)
identify elements in the existing OS that are creating major gaps leading to diseconomies of scales and
unsustainability of the firm; ii) find theories, models, and frameworks that provide a solution in filling
such gaps; iii) eliminate as many gaps as possible to create a new OS design. Important changes that are
adopted in the ROLS-b as depicted in chart 3(a) are;

A. Functional-Level Integration: The level of horizontal integration among various functions was
significantly reduced i.e., seven functions that were functioning independently, and reporting to the
CEO/MD was regrouped and reduced to three functions.

B. Balancing Authority-and-Responsibility: Regrouping of many functions and sub-functions under


the ‘SSO’ function that plays an important role in generating loyal consumers, revenue, and profit in
addition to being one of the major functions in a brick-and-mortar retail organization that takes a larger
share in the capital and recurring expenses. A majority of functions and sub-functions were regrouped
under the ‘Finance’ function that is required to be independent of other functions. Another function that
was kept independent of SSO and Finance functions was ‘Human Resource Development’ (HRD)
function as the same is also expected to have enough authority while ensuring common goals of the
organizations are achieved through healthy organizational culture.

C. Decentralization: A rational OS must integrate and balance authority-and-responsibility across all


the levels in the hierarchy. The ROLS-b while regrouping functions has also incorporated regrouping of
departments. Chart 3(b) indicates the extended OS of Regional SSO department that is one of the most
important departments under the SSO function. The Regional SSO department being one of the closest
departments to the consumer has been allotted with specialists from different functions and sub-functions
to ensure real-time support, control, removal of roles that were duplications, and systematic
empowerment to deal with dynamic changes in the market environment.

10

Electronic copy available at: https://ssrn.com/abstract=3678752


Board of Directors

Chief Executive Officer (CEO) / Managing Director (MD)

Head of
Head of SSO Head of Finance
HRD

Office & Travel


Product Design & Regional SSO Operational MIS
Accounting Team Administration Recruitment Team
Development Team Team Team
Team

Product Sourcing
Store Managers Information Financial MIS
& Quality Audits Team Payroll Team
Team Technology Team Team
Assurance Team

Warehouse & Firm-Level CEO/MD Office


Sales Personnel Taxation Team Compliance Team
Logistics Team Advertising Team Team

Chart 3(a): Proposed ROLS-b design

All the changes A, B, and C are expected to eliminate gaps that lead to diseconomies of scale such as
excessive rigidity; unexplained wage differential; insularity; R&D cost control; alienation; low job
satisfaction; insularity from reality; monitoring costs and inadequate effort levels; cost-consciousness;
low motivation levels; risk aversion; increase in administration; poor understanding of changing market
needs; perpetuation of organization form; low productivity by the R&D; limits to entrepreneurship;
weaker incentives in bureaucracies; specialization leading to poor communication; information loss;
communication losses; poor coordination levels; information signal delays; lower efficiency levels;
control-loss in addition to improvising elements that are responsible for long-term sustainability of a
firm such as the role of human resource development; creativity and innovations that are consumer-
centric; situational leadership style; organizational capabilities; positive stakeholder influences; business
practices; ability to face changing market environments; effective conversations-for-action; attention to
strategic change; management capabilities to efficiently use resources (physical, human and financial);
leadership effectiveness; rightsizing of human resources; leadership styles; competitive dynamics and
strategic consistency; humanistic and ethical approaches beyond economic criteria; favorable employee
attitudes; favorable relationships between the people inside and outside the organisation; perspectives of
people in the bottom of the hierarchy on people above them in the hierarchy; positive response to switch
leadership; strategic planning capabilities; reputation building; control-self assessment; organizational
culture; market-orientation; relevant training; sales personnel empowerment; need-based sales pitch by
the sales personnel; performance evaluation systems; customization level of consumer communications;
consumer orientation; store image.

11

Electronic copy available at: https://ssrn.com/abstract=3678752


Head of SSO

Head of Regional SSO

New Store Training &


Store Managers
Opening Team Development Team

Catchment-Level Assistant Store Store Compliance


Advertising Team Managers Team

Visual
Inventory Control
Merchandising Sales Personnel
Team
Team

Chart 3(b): Regional organizational structure under ROLS-b design


7. TESTING OF ROLS-b DESIGN:
We were firm in our approach that, the proposed ROLS-b design has to be tested in a retail set up before
we recommend the same to brick-and-mortar lifestyle retailers in India. But it was not that easy merely
because of the vast scope of the experiment. Unlike other experiments wherein the treatment is limited
to few concepts, components or variables this experiment required us to practically cover almost all the
elements of an organizational design which do require longer duration for preparations before testing,
longer duration before the beginning of extracting the results and a longer period for the experimentation
itself to ensure findings and insights are derived holistically. The biggest challenge of testing the new
ROLS-b design was the time taken to make attitudinal changes in the employees of the select retailer
across all departments and functions. The attitude of employees in the higher levels of hierarchy towards
the ROLS-b design was significantly negative while the employees in the lower levels were encouraged
by the new OS. We were cognizant and it was inevitable that such significantly negative beliefs are
addressed to ensure the testing of proposed ROLS-b design has buy-in from the majority of the
employees across functions, departments, and levels. Thus, we decided to undertake a series of training
before experimentation. Out of many lifestyle retailers in the study, we selected one retailer and started
applying new ROLS-b design to one complete Region (experimental group) that represents 25 percent
of the overall store count of the select retailer in phases applying treatment element by element one after
the other over six months be it regrouping of functions, regrouping of sub-functions, and modifying the
performance evaluation methods before heading to record results of the experiment. Once we have
completed treatment across all the elements recommended by the proposed ROLS-b design, we took the
final reading of resultant data to further analyze, evaluate, and derive insights for an entire 12 months’
period.
8. KEY FINDINGS AND INSIGHTS FROM THE EXPERIMENT:

12

Electronic copy available at: https://ssrn.com/abstract=3678752


We have recorded results of data analysis independently for empirical and qualitative as detailed in this
section to ensure that we take an unbiased look at each of these findings before we consolidate all the
results to conclude.

Empirical Analysis: Pre-test post-test real treatment effect has shown an increase in the headcount mix,
salary mix, salary as a percentage of revenue generated and salary as a percentage of overall retail
expenses of SSO function and a decrease of all these parameters in the Non-SSO functions in addition
to a significant and positive real treatment impact on the overall store-level and firm-level profitability
in the experimental group of stores that was expected by the ROLS-b as shown in table 3.

Table 3: Pre-test post-test real treatment effect across key factors in the experimental group as a
percentage change over their pre-test period
Post-Test
Particulars Experimental
Group
Headcount Mix - SSO 9.7%
Headcount Mix - Non-SSO -54.0%
Salary Mix - SSO 30.5%
Salary Mix - Non-SSO -45.3%
Salary as Percentage of Revenue - SSO 93.7%
Salary as Percentage of Revenue - Non-SSO -49.6%
Salary as Percentage of Overall Expenses - SSO 69.1%
Salary as Percentage of Overall Expenses - Non-SSO -76.4%
Retail Profit as Percentage of Revenue - Store Level 502.6%
Retail Profit as Percentage of Revenue - Firm Level 118.2%

Pre-test post-test real treatment effect has also shown a significant improvement in the absolute revenue
generation, contribution to the overall firm’s revenue, absolute gross earnings generation, contribution
to the overall firm’s gross earnings, store-level retail profit, firm-level retail profit, and most importantly
consumer repeat store visit rate in addition to a significant reduction in the firm-level advertisement
costs, warehouse and logistics costs and a significant increase in the Regional SSO employee cost and
catchment-level advertisement costs that was expected by the ROLS-b in the experimental group of
stores as shown in table 4.

Table 4: Pre-test post-test real treatment effect across key factors in the experimental group as a
percentage change over their pre-test period

13

Electronic copy available at: https://ssrn.com/abstract=3678752


Post-Test
Factors Experimental
Group
Consumer Repeat Store Visit Rate 96.17%
Revenue 62.00%
Revenue Contribution 67.01%
Gross Earnings 83.21%
Gross Earnings Contribution 54.79%
Store Expenses -2.82%
Regional SSO Employee Cost 99.44%
Warehouse and Logistics Cost -38.92%
Firm-Level Advertisement Cost -1396.98%
Catchment-Level Advertisement Cost 40.04%
Retail Profit (Store-Level) 196.64%
Retail Profit (Firm-Level) 67.54%

Tables 5 demonstrate the magnitude of change in the key parameters of the experimental group of stores
during pre-test and post-test periods over the control group of stores. One can observe an increase in the
headcount mix, salary mix, salary as a percentage of revenue generated and salary as a percentage of
overall retail expenses of SSO function and a decrease of all these parameters in the Non-SSO functions
in addition to a significant and positive improvement in the overall store-level and firm-level profitability
in the post-test period.

Table 5: Percentage variance between experimental and control group during pre and post-test periods
across key factors
Pre-Test Post-Test
Particulars Experimental Experimental
Group Group
Headcount Mix - SSO 0.0% 9.7%
Headcount Mix - Non-SSO 0.0% -54.0%
Salary Mix - SSO 0.0% 30.5%
Salary Mix - Non-SSO 0.0% -45.3%
Salary as Percentage of Revenue - SSO -40.8% 14.7%
Salary as Percentage of Revenue - Non-SSO 0.0% -49.4%
Salary as Percentage of Overall Expenses - SSO 0.0% 69.1%
Salary as Percentage of Overall Expenses - Non-SSO 0.0% -76.4%
Retail Profit as Percentage of Revenue - Store Level -66.5% 1651.4%
Retail Profit as Percentage of Revenue - Firm Level -29.0% 1719.6%

Tables 6 demonstrate the magnitude of change in the key factors of the experimental group of stores
during pre-test and post-test periods over the control group of stores. One can observe a significant
improvement in the absolute revenue generation, absolute gross earnings generation, store-level retail
profit, firm-level retail profit, and most importantly consumer repeat store visit rate in the post-test
period.

14

Electronic copy available at: https://ssrn.com/abstract=3678752


Table 6: Percentage variance between experimental and control group during pre and post-test periods
across key factors
Pre-Test Post-Test
Factors Experimental Experimental
Group Group
Consumer Repeat Store Visit Rate 219.08% 502.17%
Revenue 2.61% 42.95%
Gross Earnings 3.65% 36.75%
Regional SSO Employee Cost 34.95% 219.67%
Retail Profit (Store-Level) -82.99% 203.48%
Retail Profit (Firm-Level) -56.64% 380.64%
Qualitative Analysis: As far as qualitative findings are concerned an open-ended interview was
conducted with select (convenience) employees across SSO and Non-SSO functions and departments in
the experimental group of stores. Results indicate that the ROLS-b was able to improve flexibility in
administration; cost-consciousness; job satisfaction; motivation levels; calculated risk-taking
capabilities; understanding of changing market needs in real-time; productivity levels; sense of
entrepreneurship; incentive earnings; quality of communication; clarity of communication; coordination
levels; efficiency levels; relevancy of training and development contents; creativity and innovations
specific to a particular store; organizational capabilities; stakeholder interest; effective conversations-
for-action; rightsizing of human resources relevant for SSO functioning; positive employee attitudes
towards the firm; positive relationships between the people inside and outside the firm; perspectives of
people in the bottom of the hierarchy on people above them in the hierarchy; tactical planning
capabilities; organizational culture; market-orientation; sales personnel empowerment; customization
level of consumer communications; store image in the consumer’s minds and most importantly level of
consumer-orientation and ownership of every action.
9. CONCLUSION:
The theory of diseconomies of scale conceptualized by Coase [7] and Williamson [8-9] in the years 1937
and 1975 respectively that was mostly skewed to manufacturing setups also holds for the service industry
i.e., brick-and-mortar retailing in India even today. In addition to the theory of diseconomy of scale
another theory that still holds concerning the OS of lifestyle retailers in India is Simon’s theory of
bounded rationality [12] and Neilson’s argument on balancing authority-and-responsibility [85]. Firm’s
long-term sustainability is influenced by the OS of a firm that was argued by many studies in the past
[48-72] also holds to brick-and-mortar lifestyle retailing in India in addition to conforming results of our
previous studies that are relevant to the context of this study [47, 74-85]. While designing the ROLS-b
we have followed a logical mixture of these theories and studies in the literature and incorporated insights
gained from the exploratory qualitative stage of this study that involved evaluating ten organized lifestyle
retailers in India who represented, a) different product categories such as fashion, functional, life-stage
specific, product-specific, gender-specific, and need specific products; b) offering single-product
category and multiple-product categories; c) serving different consumer target groups at low, mid-low,
mid, mid-high, high, and premium price positioning; d) having single and multiple stores; e) offering
single brand and multiple brands; f) having presence across Tier-1, Tier-2, and Tier-3 cities; g) having
stores across the high street, malls, institutions, and neighborhoods and h) new and established retail
store image in addition to evaluating their last 5 years' overall performance. Once the ROLS-b was
designed, we have experimented with the new OS on one of these ten lifestyle retailers to test the validity
and reliability of ROLS-b. Experimentation results empirically and qualitatively demonstrate that the
existing belief of brick-and-mortar lifestyle retailers in India which assumes economies of scale and
long-term firm’s sustainability as the retailer increases the store count is just a misconception and does
not hold. Among many of the changes that were made to the existing OS to design the ROLS-b the most
15

Electronic copy available at: https://ssrn.com/abstract=3678752


important elements were i) balancing authority-and-responsibility between SSO and Non-SSO
functions/departments; ii) balancing horizontal and vertical hierarchical integrations; iii) systematic
decentralization and empowerment of employees who manage the last-mile communications, and iv)
inputs-driven performance evaluation methodologies. The ROLS-b design proposed in this study takes
into consideration the complexity brick-and-mortar lifestyle retailing in India and we have attempted to
reduce this complexity level to the best possible. When we experimented the ROLS-b for over twelve
months at over 25 percent stores of a select retailer, results demonstrate that these stores which have
gone through the treatment have shown 5.34 times improvement in the store-level profit and 1.97 times
in the firm-level profit thereby providing validity and reliability of the proposed rational OS (ROLS-b)
in the field.
10. SUGGESTIONS:
The sustainable success of a brick-and-mortar lifestyle retailer in India significantly depends on the
trueness level of their image that is carried in employees, investors, competitors, and consumers’ minds
and not the revenue or profit they generate [86-88]. To ensure a lifestyle retailer gets a true lifestyle
image, they need to think beyond revenue, profit, and even store count which is what has to be the main
criteria while designing the OS. Unless a retailer adopts an OS that ensures an optimal level of market
and consumer-orientation, it is unlikely that the retailer will ever be able to create a positive image in
consumer’s minds in addition to creating a higher number of consumers with high levels of patronage
with their stores. Lifestyle retailers in India also need to clearly understand every other lifestyle retailer’s
key business objectives and their organizational form behind adopting certain OS. Every investor has
different business goals and motives while entering into lifestyle retailing and as long as you intend to
gain a true lifestyle retailer image in the consumer’s mind then we recommend you adopt an OS that is
similar to ROLS-b and would help you overcome diseconomies of scale and protect the long-term
sustainability of your firm economically in addition to integrating social and environmental interest.
11. LIMITATIONS OF RESEARCH:
The main limitation of this research work is the coverage of various stakeholders viz., the number of
lifestyle retailers, product categories, consumer groups, employees, investor types, organizational forms,
and price positioning while designing the recommended ROLS-b. This might limit the generalizability
of research findings to other sets of lifestyle retailers. The second limitation would be that the empirical
validation is restricted to a few lifestyle retailers selected for the study and hence the generalizability of
the findings and suggestions to other lifestyle retailers in India. The third limitation would be our ability
to carry out true experimental design, at best we were able to carry out a pre-test post-test control group
experimental design. However, it provides significant inputs regarding the ways to utilize these findings
as all the findings have been derived from an experiment spread over twelve months’ on a larger sample
in addition to incorporating recommendations of proven theories in the literature.
12. SCOPE FOR FURTHER RESEARCH :
We strongly recommended that the ROLS-b is used by researchers to further test its validity and
reliability in addition to finetuning it further if required for lifestyle or non-lifestyle retailers. Based on
short-term and long-term the key business objectives of lifestyle retailers, the ROLS-b framework can
be used as a basic tool while designing OS and finetune the same suitably.
REFERENCES :
[1] https://www.amazon.in/b/?ie=UTF8&node=6648217031&ref_=topnav_storetab_top_ap_mega.
Retrieved in August 2020.
[2] Schmitt, B. (2012). The consumer psychology of brands. Journal of Consumer Psychology. 22 (1):
7–17.
[3] http://www.technopak.com/Files/fashion-retail-scenario-in-india.pdf. Retrieved in August 2020.
16

Electronic copy available at: https://ssrn.com/abstract=3678752


[4] http://statisticstimes.com/demographics/population-of-india.php. Retrieved in August 2020.
[5] https://www.mckinsey.com/industries/retail/our-insights/the-state-of-fashion-2019-a-year-of-
awakening. Retrieved in August 2020.
[6] https://www2.deloitte.com/content/dam/Deloitte/in/Documents/consumer-business/in-consumer-
RLS-2019-noexp.pdf. Retrieved in August 2020.
[7] Coase, R. H. (1937). The Nature of the Firm. Economica, New Series, 4(16), 386-405.
[8] Williamson, O. E. (1967). Hierarchical Control and Optimum Firm Size. Journal of Political
Economy, 75(2), 123–138.
[9] Williamson, O. E. (1967). Markets and Hierarchies: Analysis and Antitrust Implications. New York:
Free Press, 126-137.
[10] Williamson, O. E. (1993). Opportunism and Its Critics. Managerial and Decision Economics,
14(2), 97–107.
[11] Riordan, M. H. & Williamson, O. E. (1985). Asset specificity and economic organization.
International Journal of Industrial Organization, 3(4), 365-378.
[12] Simon, H. A. (1947). 1976. Administrative Behavior. 3d ed. New York: Free Press. Original edition,
New York: Macmillan, pp. 26-31.
[13] Simon, H. A. (2000). Barriers and bounds to Rationality. Structural Change and Economic
Dynamics, 11(1-2), 243-253.
[14] Arrow, K. J. (1974). The Limits of Organization. New York, Norton, p 33.
[15] Blau, P. M. & M. W. Meyer. (1987). Bureaucracy in Modern Society. 3d ed. New York, McGraw-
Hill, pp 139-167.
[16] Brown, C., Hamilton, J. & J. Medoff. (1990). Employers Large and Small. Cambridge, Harvard
University Press, p 42.
[17] Child, J. (1973). Predicting and Understanding Organization Structure. Administrative Science
Quarterly, 18(2), 168–185.
[18] Cooper, A. C. (1964). R&D Is More Efficient in Small Companies. Harvard Business Review, 42
(May-June), 75–83.
[19] Crozier, M. (1964). The Bureaucratic Phenomenon. Chicago, University of Chicago Press.
[20] Scherer, F. M. (1976). Industrial structure, scale economies, and worker alienation. Essays on
industrial organization in honor of Joe S. Bain, 105-122.
[21] Merton, R. K. (1957). Social Theory and Social Structure. Revised and enlarged ed. Glencoe, III,
Free Press, pp. 197-200.
[22] Pugh, D. S., Hickson, D. J., Hinings, C. R. & Turner, C. (1969). The context of organization
structures. Administrative science quarterly, March, 91-114.
[23] Qian, Y. (1994). Incentives and loss of control in an optimal hierarchy. The Review of Economic
Studies, 61(3), 527-544.
[24] Schmookler, J. (1972). The size of firm and the growth of knowledge. Patents, invention, and
economic change, p 39.
[25] Schumacher, E. F. (1778). Small is beautiful: economics as if people mattered. London: Blond &
Briggs, p. 245.

17

Electronic copy available at: https://ssrn.com/abstract=3678752


[26] Brock, J. W. (1987). Bigness is the Problem, not the Solution. Challenge, 30(3), 11-16.
[27] Carroll, G. R. & Hannan, M. T. (2004). The demography of corporations and industries. Princeton
University Press, 289-290.
[28] Jensen, M. C. (1986). Agency costs of free cash flow, corporate finance, and takeovers. The
American Economic Review, 76(2), 323-329.
[29] Monsen Jr, R. J. & Downs, A. (1965). A theory of large managerial firms. Journal of Political
Economy, 73(3), 221-236.
[30] Pondy, L. R. (1969). Effects of size, complexity, and ownership on administrative intensity.
Administrative Science Quarterly, 14(1), 47-60.
[31] Stinchcombe, A. L. (2000). Social structure and organizations. Emerald Group Publishing Limited.
[32] Williamson, O. E. (1996). The mechanisms of governance. Oxford University Press, p 266.
[33] Peters, T. (1992). Rethinking scale. California Management Review, 35(1), 7-29.
[34] Rasmusen, E. & Zenger, T. (1990). Diseconomies of scale in employment contracts. Journal of
Law, Economics, and Organization, 6(1), 65-92.
[35] Silver, M. & Auster, R. (1969). Entrepreneurship, profit, and limits on firm size. The Journal of
Business, 42(3), 277-281.
[36] Zenger, T. R. (1994). Explaining organizational diseconomies of scale in R&D: Agency problems
and the allocation of engineering talent, ideas, and effort by firm size. Management Science, 40(6),
708-729.
[37] Arrow, K. J. (1983). Innovation in large and small firms. In Entrepreneurship, Lexington Books,
Lexington, Ma, 15-28.
[38] Barnard, C. I. (1968). The functions of the executive (Vol. 11). Harvard university press, p 110.
[39] Geanakoplos, J., & Milgrom, P. (1991). A theory of hierarchies based on limited managerial
attention. Journal of the Japanese and International Economies, 5(3), 205-225.
[40] McAfee, R. P. & McMillan, J. (1995). Organizational diseconomies of scale. Journal of Economics
& Management Strategy, 4(3), 399-426.
[41] Mookherjee, D. & Reichelstein, S. (2001). Incentives and coordination in hierarchies. The BE
Journal of Theoretical Economics, 1(1), 1-38.
[42] Pugh, D. S. & Pugh, D. S. (Eds.). (1971). Organization theory: Selected readings (Vol. 126).
Harmondsworth: Penguin, 13-20.
[43] Ahmady, G. A., Mehrpour, M. & Nikooravesh, A. (2016). OS. Procedia-Social and Behavioral
Sciences, 230, 455-462.
[44] Bolman, L. G. & Deal, T. E. (1991). Leadership and management effectiveness: A multi‐frame,
multi‐sector analysis. Human Resource Management, 30(4), 509-534.
[45] Hatch, M. J. (2018). Organization theory: Modern, symbolic, and postmodern perspectives. Oxford
university press.
[46] Wirtenberg, J., Harmon, J., Russell, W. G., & Fairfield, K. D. (2007). HR's role in building a
sustainable enterprise: Insights from some of the world's best companies. People and Strategy,
30(1), 10-20.

18

Electronic copy available at: https://ssrn.com/abstract=3678752


[47] Ganesha, H. R., Aithal, P. S. & Kirubadevi, P. (2020). Integrated Marketing Mix Framework for
Baby Care Retailing in India. International Journal of Applied Engineering and Management
Letters (IJAEML), 4(1), 191-218.
[48] Rowden, R. W. (1995). The role of human resource development in successful small to mid‐sized
manufacturing businesses: A comparative case study. Human Resource Development Quarterly,
6(4), 355-373.
[49] Heunks, F. J. (1998). Innovation, creativity and success. Small Business Economics, 10(3), 263-
272.
[50] Silverthorne, C. & Wang, T. H. (2001). Situational leadership style as a predictor of success and
productivity among Taiwanese business organizations. The Journal of Psychology, 135(4), 399-
412.
[51] Rogers, M. (2004). Capabilities for sustainable business success. Australian Journal of
Management, 29(1), 21-25.
[52] Pajunen, K. (2006). Stakeholder influences in organizational survival. Journal of Management
Studies, 43(6), 1261-1288.
[53] Fabling, R. B. & Grimes, A. (2007). Practice makes profit: Business practices and firm success.
Small Business Economics, 29(4), 383-399.
[54] Pfeffer, J. (2007). What were they thinking?: Unconventional wisdom about management. Harvard
Business Press.
[55] Dervitsiotis, K. N. (2002). The importance of conversations-for-action for effective strategic
management. Total Quality Management, 13(8), 1087-1098.
[56] Smith, H. L., Discenza, R. & Baker, K. G. (2005). Building sustainable success in art galleries: An
exploratory study of adaptive strategies. Journal of Small Business Strategy, 16(2), 29-42.
[57] Kippenberger, T. (1998). Fresh perspectives on some original concepts. The Antidote, 37, 6-11.
[58] Fleck, D. L. (2009). Archetypes of organizational success and failure. BAR-Brazilian
Administration Review, 6(2), 78-100.
[59] Gilley, A., Dixon, P. & Gilley, J. W. (2008). Characteristics of leadership effectiveness:
Implementing change and driving innovation in organizations. Human Resource Development
Quarterly, 19(2), 153-169.
[60] Chu, P. & Siu, W. S. (2001). Coping with the Asian economic crisis: The rightsizing strategies of
small-and medium-sized enterprises. International Journal of Human Resource Management,
12(5), 845-858.
[61] Idris, F., & Mohd Ali, K. A. (2008). The impacts of leadership style and best practices on company
performances: Empirical evidence from business firms in Malaysia. Total Quality Management,
19(1-2), 165-173.
[62] Lamberg, J. A., Tikkanen, H., Nokelainen, T., & Suur‐Inkeroinen, H. (2009). Competitive
dynamics, strategic consistency, and organizational survival. Strategic Management Journal,
30(1), 45-60.
[63] Rosanas, J. M. (2008). Beyond economic criteria: A humanistic approach to organizational survival.
Journal of Business Ethics, 78(3), 447-462.
[64] Thompson, J. W. (1996). Employee attitudes, organizational performance, and qualitative factors
underlying success. Journal of Business and Psychology, 11(2), 171-196.
19

Electronic copy available at: https://ssrn.com/abstract=3678752


[65] Weymes, E. (2002). Relationships not leadership sustain successful organisations. Journal of
Change Management, 3(4), 319-331.
[66] Longenecker, C. O., Simonetti, J. L., & Sharkey, T. W. (1999). Why organizations fail: the view
from the front‐line. Management Decision, 37(6), 503-513.
[67] Prabhakar, G. P. (2005). Switch leadership in projects an empirical study reflecting the importance
of transformational leadership on project success across twenty-eight nations. Project Management
Journal, 36(4), 53-60.
[68] Distel, D., & Myers, D. (2002). Leadership and strategic planning: Keys to success in a changing
environment. In ASQ World Conference on Quality and Improvement Proceedings (p. 173).
American Society for Quality.
[69] Goldberg, A. I., Cohen, G., & Fiegenbaum, A. (2003). Reputation building: Small business
strategies for successful venture development. Journal of Small Business Management, 41(2), 168-
186.
[70] Sheffield, J., & White, S. (2004). Control self‐assessment as a route to organisational excellence.
Managerial Auditing Journal, 19(4), 484-492.
[71] Meško Štok, Z., Markič, M., Bertoncelj, A., & Meško, M. (2010). Elements of organizational
culture leading to business excellence. Zbornik radova Ekonomskog fakulteta u Rijeci: časopis za
ekonomsku teoriju i praksu, 28(2), 303-318.
[72] Küster, I., & Vila, N. (2011). The market orientation-innovation-success relationship: The role of
internationalization strategy. Innovation, 13(1), 36-54.
[73] Kempton, G. E. (1996). Training for organizational success. Health Manpower Management, 22(6),
25-30.
[74] Ganesha, H. R., & Aithal, P. S. (2020). Sales Personnel Training – An Integrated Framework for
Indian Brick-and-Mortar Retailers. International Journal of Case Studies in Business, IT, and
Education (IJCSBE), 4(1), 172-187.
[75] Ganesha, H. R., Aithal, P. S. & Kirubadevi, P. (2020). Decentralized Discounting Framework:
Insights from an Experiment. International Journal of Applied Engineering and Management
Letters (IJAEML), 4(1), 20-40.
[76] Ganesha, H. R., Aithal, P. S. & Kirubadevi, P. (2020). Integrated Discounting Framework for Indian
Brick-and-Mortar Retailers. International Journal of Management, Technology, and Social
Sciences (IJMTS), 5(1), 110-123.
[77] Ganesha, H. R., Aithal, P. S. & Kirubadevi, P. (2020). Need-Based Sales Pitch: Insights from an
Experiment. International Journal of Case Studies in Business, IT, and Education (IJCSBE), 4(1),
79-87.
[78] Ganesha, H. R., Aithal, P. S. & Kirubadevi, P. (2020). Input and Output Driven Sales Personnel
Performance Measures: Insights from an Experiment. International Journal of Case Studies in
Business, IT, and Education (IJCSBE), 4(1), 23-37.
[79] Ganesha, H. R., & Aithal, P. S. (2020). Retailing Performance Evaluation Scale for Indian Brick-
and-Mortar Lifestyle Retailers (LSRS-b). International Journal of Applied Engineering and
Management Letters (IJAEML), 4(1), 303-322.
[80] Ganesha, H. R., & Aithal, P. S. (2020). Consumer Communication Deployment Tactics: An
Integrated Framework for Lifestyle Brands and Retailers in India (CCF-LS). International Journal
of Applied Engineering and Management Letters (IJAEML), 4(2), 1-21.
20

Electronic copy available at: https://ssrn.com/abstract=3678752


[81] Ganesha, H. R., & Aithal, P. S. (2020). Organizing the Unorganized Lifestyle Retailers in India:
An Integrated Framework. International Journal of Applied Engineering and Management Letters
(IJAEML), 4(1), 257-278.
[82] Ganesha, H. R., Aithal, P. S. & Kirubadevi, P. (2020). Consumer Affordability in Tier-1, Tier-2,
and Tier-3 Cities of India – An Empirical Study. International Journal of Applied Engineering and
Management Letters (IJAEML), 4(1), 156-171.
[83] Ganesha, H. R., Aithal, P. S. & Kirubadevi, P. (2020). Ideal Store Locations for Indian Retailers –
An Empirical Study. International Journal of Management, Technology, and Social Sciences
(IJMTS), 5(1), 215-226.
[84] Ganesha, H. R., Aithal, P. S. & Kirubadevi, P. (2020). Optimal Category Mix in Multi-Category
Retailing – Insights from an Experiment. International Journal of Case Studies in Business, IT, and
Education (IJCSBE), 4(1), 112-126.
[85] Neilsen, E. (1986). Empowerment strategies: Balancing authority and responsibility. Executive
power, 78-110.
[86] Ganesha, H. R., & Aithal, P. S. (2020). Establishing True Lifestyle Brand in India: An Integrated
Marketing Mix Framework. International Journal of Management, Technology, and Social
Sciences (IJMTS), 5(1), 261-284.
[87] Ganesha, H. R., & Aithal, P. S. (2020). Measuring True Potential of Lifestyle Brands in India: A
Firm-Level Scale for Existing and Potential Investors (FL-LBSi). International Journal of Applied
Engineering and Management Letters (IJAEML), 4(1), 279-302.
[88] Ganesha, H. R. & Aithal, P. S. (2020). Measuring True Potential of Lifestyle Brands in India: A
Consumer-Level Scale for Existing and Potential Investors (CL-LBSi). International Journal of
Case Studies in Business, IT, and Education (IJCSBE), 4(1), 207-222.

*******

21

Electronic copy available at: https://ssrn.com/abstract=3678752

You might also like