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This paper builds a theoretical argument of how the Internet increases the scope for disintermediation and analyzes the changes in the structure of transaction costs in the case of retailing. The paper treats the Internet as a low‐cost selling technology that needs substantial customers acceptance and a specific business model in order to be a viable alternative to traditional retailing. The proposed model predicts that different types of traditional retailers follow different strategies with respect to e‐commerce depending on their pre‐Internet market positioning. These conclusions are supported by empirical evidence from the adoption strategies, followed by a sample of well‐established U.S.‐based retailers. This study shows that retailers whose traditional selling technology is best approximated by e‐commerce are more likely to be among the first to reap the benefits of low‐cost online distribution.

This paper develops a typology of omnichannel retailer activities and corresponding customer responses during a rapidly changing external coronavirus disease 2019 (COVID-19) pandemic environment, to contribute towards academic research on omnichannel strategies and to assist retailers when making future investment and resource decisions.

Implementing a dual desk research process, the authors carry out a document review of 61 retailers operating globally and connected customer reviews and categorise them using a content analysis.

The findings show that retailers employ a multitude of new omnichannel strategies during a pandemic and implement new or upgraded cross-channel services. Customer data show that delivery and customer service issues largely persist. The authors divide retailer actions and microfoundations into five broad categories and present a typology of strategic retailer activities and customer responses.

This research presents insights into omnichannel strategies from both a retailer and customer perspective, and offers guidance on improving the implementation of future omnichannel strategies.

Vertical line extension is an attractive growth strategy that allows brands to address heterogeneous consumer needs and react to competitive pressure. The purpose of this paper is to systematically review and summarize vertical line extension research to derive general insights into vertical upward and downward line extension.

Drawing on a systematic review of 536 academic articles and predefined inclusion criteria, this research identifies and evaluates all articles that add knowledge to the topic of vertical line extension (n = 64).

This research derives general insights in several vertical line extension-specific issues. Different forms of vertical line extension, conceptual differences between upward and downward extensions, as well as the role of perceived fit, extension degree and the parent brand are crucial for the study and evaluation of extension and parent brand feedback effects. Those effects are complex and often work in opposing directions not only for the parent brand but also for the extension. Future research needs to face that complexity as well as methodological issues and different research contexts to further advance the literature stream.

This paper provides a comprehensive, state-of-the-art review of vertical line extension research characteristics and results. It provides new insights on the characteristics and effects of vertical line extensions and guides future research on the topic.

Recently, organizational scholars and social scientists began emphasizing the importance of compassion and altruism and called for increased demonstrations of assistance, giving, empathy and other prosocial conduct toward those in need. Generally, we assume that help is beneficial to those who receive it, and current research on these positive behaviors primarily focuses on the advantages to those who provide it. Despite recent calls for increased levels of aiding the needy and underprivileged, helping may have downsides and adaptive costs to those who receive support that are frequently overlooked. The purpose of the study is to bring to light the potential harm in helping those who lack commitment to improvement, having “skin in the game”.

In addition to a literature review, the authors present a model to explain how support in response to human pain and suffering can sometimes result in negative effects on aid recipients. The model specifies two mechanisms, including participation of affected beneficiaries of assistance in the actual aid process and duration of help as factors that may expose vulnerable populations to more risk.

The literature strongly suggests that in some instances, helping can be detrimental, to the point where helping can even result in dependency. The authors do not suggest casting a blind eye to those in need, but rather to provide assistance that leads to self-sufficiency.

Additional research – especially over the long-term – can provide researchers with more detailed results of this approach.

The findings of this paper can serve as a model approach to provide help that does not create dependency.

Using this approach could provide the ideal method to address long-term social issues that would break the cycle of dependency.

The authors believe that this approach to helping based upon the two-stage model could become the primary effective method for providing assistance to those in need without creating dependency in the long run.

The global fashion industry is growing at a rapid pace and developing nations such as India are emerging as major contributors to the same. In such case, most academics and marketers are interested in the variables that influence fashion shopping. The purpose of this paper is to investigate the influence of consumer demographic and personality characteristics on fashion shopping proneness (FSP) in India.

Data were collected from 561 respondents using mall intercept survey method. Hypothesized relationships were assessed using multiple regression and structural equation modelling.

Traditional view that younger and female consumers are more fashion prone than older and male consumers is validated. However, demographics accounted for only 9 per cent of the variance in FSP while personality characteristics accounted for 46 per cent. Being agreeable, extroverted, open minded, and stable are all positively associated with fashion shopping.

The study finds both personality dimensions and consumer demographics to influence FSP. As a limitation, the authors do not probe deep into the why and how of the mentioned relationships between personality and fashion buying.

With respect to demographics, managers could target young females as the primary segment for fashion clothing but cannot ignore young males and older females. With respect to personality, managers can appeal to agreeable, extroverted, open-minded personalities by linking novelty, fun, relaxation, and recreation with fashion buying.

This is one of the first attempts that simultaneously investigates the effects of demographic and personality characteristics on fashion shopping behaviour in India.

This study investigates the impact of three parameters such as: number of LED chips, pitch and LED power on the junction temperature of LEDs using a best heat sink configuration selected according to a lower temperature. This study provides valuable insights into how to design LED arrays with lower junction temperatures.

To determine the best configuration of a heat sink, a numerical study was conducted in Comsol Multiphysics on 10 different configurations. The configuration with the lowest junction temperature was selected for further analysis. The number of LED chips, pitch and LED power were then varied to determine the optimal configuration for this heat sink. A general equation for the average LED temperature as a function of these three factors was derived using Minitab software.

Among 10 configurations of the rectangular heat sink, we deduce that the best configuration corresponds to the first design having 1 mm of width, 0.5 mm of height and 45 mm of length. The average temperature for this design is 50.5 C. For the power of LED equal to 50 W–200 W, the average temperature of this LED drops when the number of LED chips reduces and the pitch size decreases. Indeed, the best array-LED corresponds to 64 LED chips and a pitch size of 0.5 mm. In addition, a generalization equation for average temperature is determined as a function of the number of LED chips, pitch and power of LED which are key factors for reducing the Junction temperature.

The study is original in its focus on three factors that have not been studied together in previous research. A numerical simulation method is used to investigate the impact of the three factors, which is more accurate and reliable than experimental methods. The study considers a wide range of values for the three factors, which allows for a more comprehensive understanding of their impact. It derives a general equation for the average temperature of the LED, which can be used to design LED arrays with desired junction temperatures.

Building a customer base as an outcome of customer satisfaction has not been investigated empirically in e‐tailing industry. This paper seeks to fill this gap in the literature.

Explores the relationship between satisfying customers and building a customer base using data envelopment analysis (DEA). Data from the e‐retailing industry related to the input variables (e.g. customers' ratings on a set of e‐store attributes) and output variables (e.g. a proxy measure of “customer base”) are analyzed.

Performance scores for developing a customer base vary across product categories. Performance score is a good parameter for predicting future change on a unique number of visitors and on the competition pattern for a particular e‐tailer.

Further study can examine other drivers of a developing customer base (e.g. advertising, trust building, and strategic alliance) – thereby producing more robust evidence for customer base development in e‐tailing industry.

Good practices in the generation of customers and page view have been identified. Knowing the efficiency patterns of an e‐tailer makes it possible to guide managerial action by providing a measure of the extent to which different management actions at the e‐tailer can lead to higher future customer growth. Managers should realize that customers match realizations and expectations of product/service performance.

This study has identified satisfaction as the important driver of developing a customer base. It focuses on improving diagnosis of the performance of e‐tailers by assessing reach efficiency and page view efficiency separately.

Occupational stress is damaging to employee well-being, causes serious illnesses and costs organizations billions of dollars every year. Mutual gains model of human resource management (HRM) recommends that HRM practices should improve both employee well-being and performance. Offshore business processing organizations (BPO) are renowned to have intense wok environment. The study aimed to deploy mutual gains models in BPO to determine if positive perceptions of HRM practices (or benevolent HRM attributions) can help employees manage their stress better and improve their task performance (TP) and contextual performance (CP). Furthermore, work gratitude (WG) was examined to see if it acted as an intermediary in the relationship between benevolent HRM attributions, employee stress management (SM), TP and CP.

Primary data of 368 respondents were collected from the employees working in BPO. Structural equation modeling technique was deployed for the testing of causal relationships among constructs. AMOS 24.0 was used for the estimation of theoretical model.

Empirical outcomes affirmed strongly knitted theoretical associations among the constructs.

This study contributes to literature by proposing a framework which shows how HRM attributions can enhance employee's TP, CP and improve employee SM through the mediating influence of WG.