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This study aims to identify demographic characteristics, personal attributes and attitudes and social support factors that adversely or favourably affect the likelihood of career persistence amongst women workers of the Indian IT sector.

The research, grounded in the social cognitive career theory, analyses primary data collected from 850 women working in IT via a survey. Based on an original definition of career persistence, the sample was segregated into 427 persistent and 423 non-persistent women. Logistic regression was performed to test for the effect of various determinants on the likelihood of women being career persistent versus non-persistent.

Being married, having children, as well as high levels of belief in gender disadvantage and work–family conflict lowered the likelihood of career persistence amongst women. While being a manager, possessing high career identity, high occupational culture fit, positive psychological capital and family support boost the likelihood.

The study examines women's actual continuance in an IT career vis-à-vis exit from the workforce/IT field, rather than women's stated intent to persist/quit as previously investigated. It uses logistic regression to identify both hurdles and aids on the path of women's career persistence. The findings can help recognize women more likely to struggle, thus be a first step in targeted organizational interventions to plug a leaky talent pipeline.

The game of cricket that originated in Britain thrives on passion and the following it generates in India and other South Asian countries is tremendous. The Board of Control for Cricket in India (BCCI) is the apex governing body that controls all cricketing events in the India. Being the richest such body, BCCI is the most powerful national body among similar organizations across countries where cricket is played. The world of cricket saw a sea change with the introduction of the Indian Premier League (IPL) due to its unprecedented commercial success. The case describes the betting scandal that hit IPL, BCCI and its promoter in the middle of 2013. The scandal involved the son-in-law of the President of BCCI. The events following the scandal saw the Supreme Court of India, the highest judicial body in the country, to indict BCCI and its President of serious misgovernance. Set in this backdrop, the case highlights governance issues in the functioning of not for profit organizations such as BCCI. The case provides an opportunity to reflect on and discuss as to how such quasi-public bodies ought to be governed.

Empirically examines how certain variables influence the extent of external information search for banking services. The effects of perceived benefit, perceived cost, perceived risk, and perceived knowledge are tested within a proposed structural equation, cost‐benefit based Banking Services Model (BSM). Surveys a sample of 661 students at a major US university to gather data on their information search for banking services. The results reveal that the BSM provides a good fit to the data. Perceived benefit, cost and knowledge influence the extent of prepurchase bank information search. In addition, the consumers felt that it was more beneficial to obtain more information when there was a perceived benefit of lowering risk and when they already had some form of prior product knowledge. Implications of the BSM for services marketing management and consumer theory, limitations of the study, and future research are discussed.

The purpose of this paper is to investigate the perceptions among representatives from various established major Swedish banks in how they experienced the digitalisation process and its impact on customer relations.

Data were gathered through a series of semi-structured in-depth interviews with managers representing different banks with profound insight in the banks’ digitalisation process and its effects on customer relations/satisfaction and digitalisation.

The results showed that half of the respondents experienced the same area posing the greatest challenge. This was rooted in the perceived insecurity around what the bank assumed to know about its customers’ proficiency and experiences, and what the customers appeared to actually know.

This study was conducted as an Interpretative Phenomenological Analysis (IPA) study of various major Swedish banks, which may limit the external validity of its results. Other limitations are also discussed in the paper.

By identifying the aspects of a digital banking that bank managers perceive to be more advantageous or challenging towards cultivating the relationship with its customers, bank managers should garner an awareness of being able to more effectively develop appropriate strategies in addressing the bank’s customers.

The area is vastly under-researched. The study contributes to the literature of digital channels and its perceived effects on customer loyalty from a managerial perspective. The results show that some of the present customer loyalty theory needs to be revised in order to accommodate for the era of digitalisation.

Many consumer choice situations are characterized by the simultaneous demand for multiple alternatives that are imperfect substitutes for one another. A simple and parsimonious multiple discrete-continuous extreme value (MDCEV) econometric approach to handle such multiple discreteness was formulated by Bhat (2005) within the broader Kuhn–Tucker (KT) multiple discrete-continuous economic consumer demand model of Wales and Woodland (1983). In this chapter, the focus is on presenting the basic MDCEV model structure, discussing its estimation and use in prediction, formulating extensions of the basic MDCEV structure, and presenting applications of the model. The paper examines several issues associated with the MDCEV model and other extant KT multiple discrete-continuous models. Specifically, the paper discusses the utility function form that enables clarity in the role of each parameter in the utility specification, presents identification considerations associated with both the utility functional form as well as the stochastic nature of the utility specification, extends the MDCEV model to the case of price variation across goods and to general error covariance structures, discusses the relationship between earlier KT-based multiple discrete-continuous models, and illustrates the many technical nuances and identification considerations of the multiple discrete-continuous model structure. Finally, we discuss the many applications of MDCEV model and its extensions in various fields.

This study aims to answer two unique related questions on the overarching relationship between a CEO’s personal religious affiliation, the firm’s advertising spending decision and its shareholder value. First, does the CEO’s religious affiliation, a proxy for risk taking, influence the firm’s advertising spending decision? Second, does the advertising spending decision mediate the relationship between the CEO’s religious affiliation and the firm’s shareholder value?

This study uses data on the religious affiliations of CEOs of publicly listed US firms, 1992–2014, from Marquis Who’s Who; advertising spending and shareholder value from Compustat, and panel data-based regression models including CEO characteristics from ExecuComp, and firm-, industry- and time-based controls.

We find higher advertising spending levels for Protestant over Catholic-led firms, and advertising spending mediates the relationship between a CEO’s religious affiliation and the firm’s shareholder value.

Marketing theory needs to incorporate the missing but fundamental effect of the CEO’s religious affiliation-based values on decisions and outcomes.

Boards of Directors may need to align the CEO’s and their firm’s spending goals.

While previous studies focused on the influence of religious affiliation on consumers’ attitudes and behavior, and executives’ financial and R&D spending decisions, this study, to the best of the authors’ knowledge, is the first to investigate the effect of a CEO’s religious affiliation on the firm’s advertising spending decision and its shareholder value.

This paper aims to show the effect of brand equity, marketing investment and product differentiation on price in small and medium enterprises (SMEs), multinational companies (MNCs) and retailers (private labels). Academics have been researching brand equity, return on investment and effects of product differentiation for many years, but there has been little work that has taken a holistic view.

The author studied an aggregate data set for 735 fast-moving consumer goods (FMCG) brands, taken from Nielsen (10,282 households). Regression analysis was used in the first step, a cluster analysis in the second step of modeling procedure.

The study suggests that brand equity, marketing investment and product differentiation are closely associated with price. Using a cluster analysis, the authors found that the premium price is significantly associated with product differentiation based on innovation and company type.

The managerial implications of the models estimated by regression analysis are discussed as well as the results of the cluster analysis and possible research enhancements.

The role of the value in brand performance output has not been investigated in the financial context, only in consumer or marketing mix context. Little is known about how price strategy depends on brand equity, product innovation activities or marketing investments intended to improve brand performance, neither how this strategy improves brand performance among different players in the market (retailers, SMEs and MNCs).

The purpose of this paper is to theoretically hypothesise and empirically test the impact of sustainable supply chain practices (SSCPs) on firms’ financial risk.

This research adopts signalling theory to explain the signalling role of SSCPs and the moderating role of the signalling environment in terms of supply chain characteristics. It collects and combines longitudinal secondary data from multiple sources to test the direct impact of SSCPs on firms’ financial risk and the moderating role of supply chain complexity and efficiency. It conducts various additional tests to check the robustness of the findings and to account for alternative explanations.

This research shows that SSCPs help firms reduce financial risk but do not affect their returns. Moreover, the risk reduction of SSCPs is greater for firms with more complex and efficient supply chains. The findings are robust to alternative variable measurements and analysing strategies.

This research reveals the role of SSCPs in reducing financial risk, urging researchers to pay more attention to the financial risk implications of supply chain practices in general and SSCPs in particular.

This research encourages firms to engage in SSCPs to reduce financial risk and enables them to assess the urgency of their SSCPs investments in view of the complexity and efficiency of their supply chains.

This is the first research examining the impact of SSCPs on financial risk, based on longitudinal secondary data and signalling theory. The empirical evidence documented and the theoretical perspective adopted offer important implications for future practice and research on SSCPs.

Previous literature has discussed the importance of two types of social media exposures: owned social media (OSM) exposures generated by service providers and earned social media (ESM) exposures initiated by consumers. This study aims to examine the relative effects of owned and ESM exposures on brand purchase, as well as their advertising externality to competing brands. Rooted in theory of planned behavior and advertising externality literature, this study hypothesizes that owned and ESM exposures positively influence brand purchase. Such effects, however, can spill over to competing brands that invest in social media marketing and co-exist in the market.

This study collects brand purchase records and social media messages on the Facebook brand pages of a group of service providers over 12 months. The data are assembled for time series analysis with the unit of analysis being “brand × bi-week”.

Using a blend of fixed-effects models and seemingly unrelated regressions, this study finds that both owned and ESM exposures positively affect brand purchase, the purchase effect of OSM exposures is greater than ESM exposures, OSM exposures generate not only more purchase of the focal brand but also positive advertising externality to competing brands, whereas ESM exposures locks up the advertising effect to the focal brand without spilling over to competing brands.

This study advances the understanding about the externality of social media exposures in an increasingly competitive market where multiple brands invest in social media marketing and co-exist. Important implications on the strategic use of social media exposures to drive brand purchase while competing with similar brands are provided.