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This case is designed to facilitate students to comprehend the challenges an e-commerce firm faces when it attempts to monetize data network effects. The challenges faced by Zomato are ideal for in-class debate and discussion. The following learning objectives can be fulfilled through this case: understanding the promises and issues raised by data network effects; comprehending the problems an e-commerce firm faces in re-configuration; illustrating the responsibility of an established e-commerce firm towards its stakeholders; and discussing how a firm should navigate its relationship with its stakeholders.

Zomato.com, the largest Indian food aggregator and delivery platform, was contemplating the launch of Zomato Instant, a 10-min food delivery. Currently, the company’s delivery model pivoted around delivering food within 30 min. Recently, Zomato acquired Blinkit, an online grocery shopping app that was positioned to deliver groceries in 10 min. Deepinder Goyal of Zomato felt that customers would soon be more discriminant in demanding quicker services, as they might not be comfortable with 30-min deliveries. Hence, Zomato’s business model must also be re-configured to provide 10-min deliveries. Armed with access to customer data, Goyal predicted items that could be prepared and delivered within 10 min from its dark stores and automated kitchens. Although the model seemed promising and the company was upbeat about it, Zomato Instant faced challenges on several fronts. From the human angle, the decision was criticized on social media, mainly around the violation of road regulations, road safety issues and pressure on the delivery personnel to perform. Many delivery personnel had fled this gig work to join their pre-COVID jobs. Even the Competition Commission of India had established an inquiry into Zomato’s anti-competitive practices using customer data.

This case is best taught as part of a curriculum in management programmes at the post-graduate level, in courses such as e-commerce, e-retailing, business models for electronic commerce and online entrepreneurship/new age entrepreneurship. In terms of the positioning in the course, this case could be used to demonstrate the challenges of re-configuration of an online platform.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.

This study aims to identify and rank the operational and financial risks causing a delay in the commencement of the city gas distribution project in India.

This study reviews the literature to identify operational and financial risks variables associated with infrastructure projects. Followed by a survey to isolate and assess the critical risk factors for city gas distribution network project in India. The survey data is evaluated using factor analysis to understand the latent structure of the critical risk factors. Second, the author ranks the identified variables as per significance by using the mean score method.

Five critical risk factors with 20 variables were extracted and assessed to build more understanding of their significance and impact on city gas distribution network project.

This study is the first attempt to follow the management approach to identify and rank operational and financial risks impacting city gas distribution project.

Social shopping website (SSW) introduce the social side into the shopping process, thus making “window” shopping or browsing more interesting for customers. The purpose of this paper is to investigate customer online browsing experience and its antecedents (i.e. information quality and social interaction) and consequences (i.e. urge to buy impulsively and continuous browsing intention) in the context of SSW.

A survey questionnaire was distributed to visitors of online SSW to collect data, and partial least squares technology was used to test the research model.

The results of this study reveal that three types of web browsing, namely, utilitarian browsing, hedonic browsing and social browsing, take place in a SSW. The unique factors of SSW, namely, the quality of user generated contents and social interaction are critical for facilitating customers’ browsing experiences. Furthermore, the findings reveal that hedonic browsing experience is found to be the most salient factor influencing customers’ urge to buy impulsively and continuance intention.

The findings suggest that practitioners, such as designers and managers of SSW should give special attention to the benefits of browsing activity to convert web browsers into impulse purchasers and increase customers’ loyalty. Moreover, they should focus on improving the quality of user generated content and pay more attention to support and encourage social interaction to enhance browsing experiences on a SSW.

Existing studies about browsing behavior mostly focus on traditional online e-commerce website. This study represents the first step toward understanding browsing activity on SSW. Moreover, prior studies mainly focused on utilitarian and hedonic browsing experience; however, there is a lack of research on social browsing experience. The current study attempts to fill this research gap.

The intense competitive and dynamic environment in mobile social-media market forces service providers to introduce incremental technological changes to achieve sustainable competitive advantage. The purpose of this paper is to investigate what and how the user attitude to change influences members' behavioral support for incremental technological change in mobile social media service.

Using the tripartite model of attitude, this study examines the influence of the cognitive aspect (empowerment with change), affective aspect (arousal with change) and behavioral aspect (habit to change) of attitude toward change on members' behavioral support for incremental technological change. Drawing on the commitment to change theory, we assessed the underlying mechanism by which attitudes toward change influences behavioral support for incremental technological change through the two components of commitment to change (i.e. affective and normative commitment to change). We tested the model using structural equation modeling on the data collected from the popular mobile social media services in China.

Our results indicate that the effect of empowerment with change, arousal with change and habit to change varies with different dimensions of commitment to change and significant influence of commitment to change on members' behavioral support for incremental technological change.

The findings of this study contribute to better insights for services providers for implementing incremental technological change strategies.

This study contributes to the theory of incremental technological changes by empirical examination of the impacts of users' attitudes toward change on members' behavioral support for incremental technological change in mobile social media. The paper extends the commitment to change theory with the discussion of the mediating effect of commitment to change in the continuing members' behavioral support for incremental technological change in mobile social media.

Advances in material agency driven by artificial intelligence (AI) have facilitated breakthroughs in material adaptivity enabling smart objects to autonomously provide individualized smart services, which makes smart objects act as social actors embedded in the real world. However, little is known about how material adaptivity fosters the infusion use of smart objects to maximize the value of smart services in customers' lives. This study examines the underlying mechanism of material adaptivity (task and social adaptivity) on AI infusion use, drawing on the theoretical lens of social embeddedness.

This study adopted partial least squares structural equation modeling (PLS-SEM), mediating tests, path comparison tests and polynomial modeling to analyze the proposed research model and hypotheses.

The results supported the proposed research model and hypotheses, except for the hypothesis of the comparative effects on infusion use. Besides, the results of mediating tests suggested the different roles of social embeddedness in the impacts of task and social adaptivity on infusion use. The post hoc analysis based on polynomial modeling provided a possible explanation for the unsupported hypothesis, suggesting the nonlinear differences in the underlying influencing mechanisms of instrumental and relational embeddedness on infusion use.

The formation mechanisms of AI infusion use based on material adaptivity and social embeddedness help to develop the business strategies that enable smart objects as social actors to exert a key role in users' daily lives, in turn realizing the social and economic value of AI.

This study advances the theoretical research on material adaptivity, updates the information system (IS) research on infusion use and identifies the bridging role of social embeddedness of smart objects as agentic social actors in the AI context.

This study aims to focus on identifying the business risks that cause a delay in the oil and gas projects and suggest the way forward toward the better development of the city gas distribution (CGD) sector in India by suggesting the appropriate mitigation strategies.

The study is a systematic review of literature on risks causing a delay in oil and gas projects. Comprehensive literature was carried out following a seven-step model to develop an exhaustive list of risk classifications and factors, risk identification methods and strategies to mitigate the risks. Weighted average ranking method is used to identify the top ten risks affecting oil and gas projects.

This research identifies the top ten risks frequently impacting the oil and gas projects, which are project cost, improper project management, change in economic parameters, currency exchange rate, government regulations and laws, contractor and subcontractors issues, lack of skilled labor, delay in approvals, health and safety issues and force majeure. These risks are primarily responsible for cost overrun and project delay. Additionally, this study recommends the implementation of joint risk management to avoid CGD project delay.

The CGD industry is in the growing stage with many projects under construction. However, there is a lack of research to manage risks in the CGD project. This study contributes to the limited literature available on risk management in oil and gas projects. Additionally, it highlights the need for further research to explore the different risks factors affecting the CGD business and its operations and subsequently develop appropriate mitigation strategies.

This study aims to identify the operational and financial risks associated with the city gas distribution project in India and suggest appropriate strategies to mitigate them.

This study aims to identify the operational and financial risks associated with the city gas distribution project in India and suggest appropriate strategies to mitigate them. The survey data is evaluated using factor analysis to understand the latent structure of the critical risk factors. Second, the author uses Situation, Actor and Process–Learning, Action and Performance framework to suggest the mitigation strategies for the identified operational and financial risk factors.

The research identified five critical risk factors and suggested 39 mitigation strategies to address operational and risk factors impacting CGD projects. The findings of this research will enable the CGD companies to formulate long-term strategies for their business and adopt proactive measures to mitigate the operational and financial risks causing delay and increasing project costs. This study also highlights the importance of government support in developing a conducive environment for CGD industry to thrive.

The CGD projects are critical for natural gas growth in India’s energy mix. The project delay leads to a rise in the total cost involved and increases the payback period for the CGD companies. To the best of authors’ knowledge, this research is first of its kind that identifies the critical operational and financial risks affecting CGD projects in India and suggests the mitigating strategies for them.

As the social media platform becomes an ever more important communication channel between company and customer, companies are learning how they can best utilize social media to better communicate their brands with customers. The purpose of this paper is to explore the communication tactics adopted by the enterprise microblogs using a communication framework. Further, the authors hope to find out how these communication tactics influence customer brand experience (BE) and subsequently brand loyalty.

First, to identify the communication tactics used by enterprise microblogs, the authors recruited six active microblog users and listed all possible characteristics of enterprise microblogs that could increase customers’ fondness for the brand. Second, based on the listed 19 characteristics and existing theories, the authors pre-classified and conceptualized the content and style tactics categories. The authors also followed a sorting procedure to verify our classification. Finally, based on the sorted characteristics and previous research, the authors designed a questionnaire and 459 sets of valid data were collected from enterprise microblog users.

The communication tactics are classified into two dimensions, namely content tactics and style tactics. The content tactics include content diversity, content accuracy and content timeliness, and the style tactics include impression enhancement style and interactivity enhancement style. The results reveal that the communication content and style tactics significantly enhance overall customer BE and further brand loyalty. The study results also show that style tactics exert more influence on BE than content tactics.

This paper highlights the company’s important role in company-customer communication on social media, and categorizes the effective communication tactics used by the enterprise microblog within a communication framework. Companies could build brand loyalty by enhancing users’ BE using effective communication. The communication perspective and measures of the communication tactics in this study provide an ideal background for future research on IT-based company-customer interaction.

Algorithms are widely used to manage various activities in the gig economy. Online car-hailing platforms, such as Uber and Lyft, are exemplary embodiments of such algorithmic management, where drivers are managed by algorithms for task allocation, work monitoring and performance evaluation. Despite employing substantially, the platforms face the challenge of maintaining and fostering drivers' work engagement. Thus, this study aims to examine how the algorithmic management of online car-hailing platforms affects drivers' work engagement.

Drawing on the transactional theory of stress, the authors examined the effects of algorithmic monitoring and fairness on online car-hailing drivers' work engagement and revealed the mediation effects of challenge-hindrance appraisals. Based on survey data collected from 364 drivers, the authors' hypotheses were examined using partial least squares structural equation modeling (PLS-SEM). The authors also applied path comparison analyses to further compare the effects of algorithmic monitoring and fairness on the two types of appraisals.

This study finds that online car-hailing drivers' challenge-hindrance appraisals mediate the relationship between algorithmic management characteristics and work engagement. Algorithmic monitoring positively affects both challenge and hindrance appraisals in online car-hailing drivers. However, algorithmic fairness promotes challenge appraisal and reduces hindrance appraisal. Consequently, challenge and hindrance appraisals lead to higher and lower work engagement, respectively. Further, the additional path comparison analysis showed that the hindering effect of algorithmic monitoring exceeds its challenging effect, and the challenge-promoting effect of algorithmic fairness is greater than the algorithm's hindrance-reducing effect.

This paper reveals the underlying mechanisms concerning how algorithmic monitoring and fairness affect online car-hailing drivers' work engagement and fills the gap in the research on algorithmic management in the context of online car-hailing platforms. The authors' findings also provide practical guidance for online car-hailing platforms on how to improve the platforms' algorithmic management systems.

The purpose of this paper is twofold: first, to clarify what specific behaviors are involved in consumers' partial switching in mobile application (app) usage, and, second, to explore the common and differential motivations of these behaviors.

This paper specified two behaviors in consumers' partial switching in mobile app usage, trialing and combining behaviors, and conceptualized them as different types of variety seeking behaviors. A theoretical model contrasting intrinsic motivations and extrinsic motivations on the two behaviors was developed and tested with a sample of 561 mobile app users in China.

The findings showed that both trialing and combining behaviors could be motivated by intrinsic individual-related and extrinsic technology-related factors. Besides, intrinsic individual-related factors were more effective in motivating trialing behavior, whereas extrinsic technology-related factors were more effective in motivating combining behavior. All these findings are applicable and consistent in both hedonic and utilitarian apps.

This study extends and advances the literature on information technology switching by investigating consumer use behaviors from a new perspective of partial switching and multiple competing apps usage. This study also contributes to variety seeking literature by extending the understanding of variety seeking to the context of mobile app usage. Finally, by investigating the associations and distinctions of trialing and combining behavior, this study not only helps to fully understand the partial switching but also enriches the understanding of different types of variety seeking behaviors.