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743 items in total found

Journal Articles | 2023

Circular economy business models as pillars of sustainability: Where are we now, and where are we heading?

Maryam Hina, Chetna Chauhan, Rajat Sharma and Amandeep Dhir

Business Strategy and the Environment

The prior literature has discussed the benefits of the circular economy business model (CEBM) while working to streamline the environmental aspect, touching upon the social aspect and improving the economic aspect. These aspects have been widely recognised as pillars of sustainability. Thus, prior scholars have sought to identify the relationship between the CEBM and sustainability. However, the extant literature, which remains relatively nascent, has failed to clarify this linkage for each pillar of sustainability. To address this lacuna, we followed a systematic literature review (SLR) approach to determine the current state of research on the CEBM and sustainability. Our study identifies and presents the thematic foci in the prior literature, which highlight the linkages between the CEBM and the pillars of sustainability. These thematic foci include the CEBM and sustainability, the CEBM and the environmental dimension, the CEBM and the social dimension and the CEBM and the economic dimension. In addition, this SLR recognises various research gaps within each theme and offers actionable avenues for future research. We also propose a conceptual framework, rooted in social capital theory (SCT), that highlights the linkages between the CEBM and sustainability. Our findings reveal that research at the intersection of the CEBM and sustainability considers the CEBM an integral component of sustainability. We conclude by presenting our work's theoretical and practical implications, which can assist scholars and organisations to incorporate the pillars of sustainability within their CEBMs.

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Journal Articles | 2023

Belief Distortion near 52W high and low: evidence from Indian equity options Market

Sumit Saurav, Sobhesh Kumar Agarwalla and Jayanth R. Varma

Journal of futures markets

We examine investors' behavioral biases and preferences in the options marketnear 52‐week high and low (52W‐H/L) using Indian options market data. Wedocument that as the stock price approaches 52W high (low), the skewness ofrisk‐neutral  density  (RND),  and  out‐of‐the‐money  (OTM)  call  volumedecreases (increases), while OTM put volume increases (decreases). Aftercrossing the 52W high (low), the skewness of RND and OTM call volumeincreases (decreases), while OTM put volume decreases (increases). Theeffects are economically large and significant. Our findings provide evidenceconsistent with the anchoring theory of belief distortion near 52W‐H/L. Thereis no evidence of preference distortion, contrary to what prospect theorypredicts.

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Journal Articles | 2023

Does employee mobility network influence acquisition behavior? Evidence from the semiconductor industry

Mayank Varshney and Mohammad Fuad

Strategic Organization

This article examines the role of employee mobility network in influencing a firm’s merger and acquisition behavior. Specifically, we draw upon the social network perspective and theorize that a firm’s employee mobility network centrality positively influences the number of announced merger and acquisition deals in a hi-tech industry. However, the firm’s prior acquisition experience and absorptive capacity negatively moderate the relationship between the employee mobility network centrality and the number of announced merger and acquisition deals. Our findings based on a sample of US semiconductor firms in the period 1992–2010 provide robust support to our theorization.

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Journal Articles | 2023

Predicting sports fans’ engagement with culturally aligned social media content: A language expectancy perspective

Deep Prakash C. and Adrija Majumdar

Journal of Retailing and Consumer Services

There is limited research showing how strategically generated content can boost Twitter engagement. The problem is acute for sports clubs with large fan bases. We determine the ideal content generation strategy using Hofstede's Cultural Dimensions and Language Expectancy theory. This study examines whether culturally aligned tweets can improve fan engagement. Using tweets from a sports league, we demonstrate that culturally aligned features may be used to build machine learning and deep learning models that predict a tweet's engagement level. According to our research, culture-specific social media content that meet fans' language expectations can increase Twitter engagement.

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Journal Articles | 2023

Shining the spotlight on marketplace rituals: A review and research agenda

Arun Sreekumar, Robert Alfonso Arias, Cele C. Otnes and Linda Tuncay Zayer

Journal of Marketing Management

Although rituals are commonplace in marketer-consumer interactions, extant research devotes limited attention to how ‘marketplace actors’ or MAs (marketers and stakeholders enacting the roles of marketers) leverage these events in the marketplace. We scrutinise this gap by examining literature in the top 50 major marketing journals. We ask: What functions do marketplace rituals fulfil for MAs, as they leverage these rituals when shaping customer experiences? Our analysis finds MAs leverage rituals to support seven broad functional categories that pertain to customer experience: cognitive, cultural, emotive, logistical, relational, social, and transformative. We illuminate how MAs leverage these functions to meet specific goals. We propose an agenda for future research on marketplace rituals.

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Journal Articles | 2023

Doing Reputation in the Indian Context: An Employee Perspective

Avani Desai, Asha Kaul and Vidhi Chaudhri

International Journal of communication

Corporate reputation has been studied as an aggregate of stakeholder perceptions with some emphasis on distinguishing among the perceptions of different stakeholder groups. This study focuses on the perceptions of employees, a critical group of stakeholders, within the Indian context and examines factors that inform an understanding of reputation from an employee perspective and shares the consequences of the same. Building on existing research conducted in developed countries, the study reveals similarities and dissimilarities with existing reputation conceptualizations. Results reveal three new factors, namely stakeholder connect, customer centricity, and company ethos, which are critical to an understanding of reputation from the perspective of Indian employees. Based on factors and attributes emerging from employee perceptions, the study proposes the Loyalty, Engagement, Emotional Connect, and Commitment model, which highlights the consequences of a good reputation in the Indian context.

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Journal Articles | 2023

Going the Extra Mile: what Taxi Rides Tell Us About the Long – Hour Culture in Finance

Deniz Okat, Ellapulli Vasudevan

Management Science

We analyze banks’ “protected-weekend” policies that restrict junior bankers from working during weekends. We use taxi rides from bank addresses in New York City to infer bankers’ working hours. We find the policies induced bankers to shift their work to late-night hours on weekdays. We then investigate whether such shifts in working hours affected the quality of work. After the policy, analysts of the policy-implementing banks make more errors in their earnings forecasts. They also herd more toward the consensus in their forecasts. We further provide evidence that junior bankers are the most adversely affected by the policy.

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Journal Articles | 2023

Understanding the relationship between adoption and value creation on Online Social Networks

Suparna Dhar, Indranil Bose and Jose Benitez

Information Systems Frontiers

In this paper, we reviewed 126 papers published in 13 top journals in information systems from 2008 to 2022 that focused on the adoption of social networking sites (SNS) and its consequences. The paper presents a summary of the literature review. The literature review indicated that most scholars studied the adoption and the consequences of SNS adoption in silos. Human behavior is complex. Skinnerian behaviorism posits that human behavior is triggered by environmental stimulus and reinforced by an appraisal of consequences to the behavior. It evinces a need for the development of an integrative framework to model the stimulus for adoption of SNS and an appraisal of the reinforcement of the consequences of adoption in a single frame. We analyze the associated constructs and theories to propose the integrative Social Networking Site Exploitation Framework (SNSEF), based on reinforcement theory, social psychology, and social capital theory. The SNSEF constitutes nine propositions to explain human motivations and behavior that leads to value creation on SNS. SNS providers will find the framework useful to assess human motivations of SNS usage and the value generation from the sites to design appropriate features of their sites to attract and retain active users. The SNSEF will help educational and business organizations as well as governmental agencies in designing appropriate policies for SNS adoption and exploiting SNS for communication. Business managers and marketers may leverage the SNSEF to understand user behavior on SNS to attain business goals. Academic scholars may gain from the literature review, propositions of the SNSEF, and the future research directions presented in this paper.

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Journal Articles | 2023

What shall I learn? Two-stage decision making under social influence on corporate E-learning platforms

Yiping Amy Song, Lingling Zhang, Liye Ma and Indranil Bose

Decision Support Systems

E-learning platforms have increasingly been adopted by corporate employees in the workplace. On these platforms, users typically follow a two-stage decision-making process: they first choose which content to learn and then decide how much to continue learning. The decisions of individual employee users are influenced by members of the same workplace organization (group influence) and general users on the platform from other organizations (mass influence). Extant research has not shown how different types of social influence impact different decisions. Using data from a corporate e-learning platform, this study examines how group influence and mass influence support employees' learning decisions, from the perspective of the elaboration likelihood model (ELM). The results reveal that mass users' past choices only influence low-elaborative choice decisions but not high-elaborative engagement decisions. In contrast, workgroup members' past choices influence both the low-elaborative choice and high-elaborative engagement decisions. Furthermore, positive synergy exists between the two types of social influence for the choice decision, but the synergy dissipates for the engagement decision. These findings can help online content platforms design appropriate information-sharing systems to influence users' choice and engagement decisions. The results can also help corporates take advantage of social influence to motivate employees to engage in work-related online learning.

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Journal Articles | 2023

Food supply chains and resilience to shocks: Evidence from India's COVID-19 lockdown

Nikita Gupta, Vidya Vemireddy and Abhishek Shaw

Applied Economic Perspectives and Policy

We study the disruption of food supply to households and reduced farm-to-market arrivals in India's food supply chain during the COVID-19 lockdown. We focus on the relationship between logistics quality (and performance) and the intensity of disruptions across India's states. We find four policy-relevant findings: (1) Food consumption expenditure was higher in states with better logistics quality; (2) These states recovered more quickly from farm-to-market disruptions with higher agricultural market arrivals in the later phases of the lockdown; (3) Rural food supply chains turned out to be as vulnerable as urban ones; and (4) Expenditure on cereals and pulses faced large reductions.

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