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This paper presents the concerns in agri-food supply chain. Further the research investigates the role of information and communication technology (ICT) in agri-food supply chain and determines the impact of supply chain management (SCM) practices on firm performance.

The theoretical framework was proposed for the study on the basis of existing literature. Data for the study was collected with the help of structured questionnaire from 121 executives and officers of the public food distribution agency. Partial least square (PLS)–structured equation modeling was employed to test the framework and hypotheses.

The results indicate that ICT and SCM practices (logistics integration and supplier relationships) have a significant relationship. Furthermore, SCM practices (information sharing, supplier relationship and logistics integration) have a significant and positive impact on performance of the organization.

Further research could be carried out to test the moderation effect of SCM practices between ICT and organizational performance (OP). Extending the research study to the companies operating in other sectors can enhance the external validity of the study and improve the accuracy of parameters examined.

This study can be of interest to the agri-food industry as well as other industry practitioners interested in improving the performance of the organization from the view of supply chain.

The outcomes of this study have important implications that translate into a series of recommendations for the management of public food distribution as well as other agri-food-based supply chains.

The study explores the role of dialogic public communication and information quality (IQ) in evaluating the operational performance of donation-based crowdfunding (DBC) tasks. These tasks are primarily used to support disaster relief operations. The authors also test the influence of cognitive trust and swift trust as moderating variables in explaining the relationship between both IQ and dialogic communication with operational performance.

The authors used a primary survey to test the hypotheses. A total of 203 responses were collected from multiple crowdfunding platforms. The authors used archival data from task creators on donation-based crowdfunding platforms, and a structured questionnaire is also used to collect responses. Data are analyzed using Warp PLS 6.0. Warp PLS 6.0 works on the principle of partial least square (PLS) structured equation modeling (SEM) and has been used widely to test path analytical models.

The authors found out that the operational performance is explained significantly by the quality of information and its association with dialogic public communication. The results support the arguments offered by dialogic public communication theory and trust transfer theory in assessing the operational success of DBC. The study also confirms that cognitive trust positively moderates the relationship between IQ and organizational public dialogic communication and operational performance. It is also revealed that the duration of the DBC task has no significant control over dialogic public communication.

The study lays practical foundations for task creators on DBC platforms and website designers as it sets the importance of both IQ and dialogic communication channels. The communication made by the task creator and/or the DBC platforms with the donors and potential donors in the form of timely and appropriate information forms the key to the success of any DBC task. The study also helps task creators choose a suitable platform to improve performance.

The authors propose a unique framework by integrating two theoretical perspectives: dialogic public relation theory and trust transfer theory in understanding the operational performance of donation-based crowdfunding tasks. The authors address DBC tasks catering to disaster relief operations by collecting responses from task creators on DBC platforms. The study uniquely positions itself in the area of information and communication.

The objective of the study is to test a conceptual model based on the interrelation between data-driven supply chain quality management practices (DDSCQMP) and the performance of organized retailing firms in India.

Based on a comprehensive review of literature, the dimensions of DDSCQMP concerning the Indian organized retail sector have been extracted. Considering the research objectives, the research data has been collected using a structured questionnaire from Indian retailers. Overall 133 questionnaires were responded successfully from retailers. The model was tested using structured equation modeling (SEM) through PLS 3.0.

The research findings confirm hypotheses and reveal the statistically significant relationship between DDSCQMP and retailers' performance at an aggregate level. However, the results of the individual-level analysis of DDSCQMP appear to vary from practice to practice. Among various DDSCQMP, “customer focus” with the highest beta (ß) value was found to have the greatest impact on performance followed by “employee relations”.

The study provides empirical justification for a structural model that identifies a positive and significant relationship between DDSCQMP and organizational performance within the context of organized retail sector of India.

The purpose of this paper is to identify the factors affecting user acceptance for NFC mobile wallets in both Korean and US markets.

The proposed model extends the UTAUT2 model with new constructs of credibility (CR) and service smartness (SS). This study was analyzed using partial least square structural equation modeling on data collected from 701 college students between the ages of 18 and 29.

The results of this study demonstrate that performance expectancy (PE), effort expectancy (EE), CR, SS and habit (HB) have strong positive relationships with a user’s behavioral intention to use NFC mobile wallets. Comparing the results of the USA and South Korea, there are different results regarding PE and CR.

This study shows that all factors except social influence (SI) have significant positive relationships with the intention to adopt NFC mobile wallets: Among the original UTUAT2 factors, PE, EE and HB are important determinants of NFC mobile wallet adoption and the new constructs, CR and SS, are significant determinants that influence BI. However, the target respondents are limited to college students of South Korea and the USA Thus, caution should be used when applying the results of this study towards less ICT developed countries and towards different age groups.

This study provides multiple practical contributions. First, this study emphasizes HB as the strongest factor for adopting NFC mobile wallets in both South Korea and the USA Second, this study also highlights the importance of SS. Third, this study reveals that SI is not associated with the adoption of NFC mobile wallets. Fourth, nationality differences between the USA and South Korea account for the differences in consumer behaviors.

This study has two main contributions: First, this study introduces a modified UTAUT2 model with two new variables (CR and SS) useful for NFC mobile wallets. Second, this study compares the results of partial least square structured equation models (PLS-SEM) of the two nationality groups, South Korea and the USA

Many corporates in India are constantly adapting real estate benchmarks to reduce the workspace maintenance cost. However, anecdotally benchmarking the experience of clients while designing the workspace maintenance policies is not adequately taken into consideration in India. The focus of this study is on benchmarking workspace usage based on client usability.

The research is descriptive in nature. A structured questionnaire was sent to Information Technology (IT) companies in India to collect data through SurveyMonkey. Stratified sampling was used to collect a sample of 697 respondents which was also verified using G* software. The data collected was analysed using descriptive statistics and partial least square–structured equation modeling (PLS-SEM) to investigate the mediating effect of benchmarking the workspace usage on portfolio optimization and client satisfaction.

The structural model results obtained through the bootstrapping technique show that benchmarking workspace usage for real estate management positively impacts client satisfaction in the Indian IT workspace. The findings of this study support the full mediation effect (97%) and indicate that benchmarking practices are necessary for developing strategies for optimal portfolio asset utilization and are essential to survive in the current competitive business environment.

The findings of this study were influenced by the feedback from the top 100 IT clients in India. The research findings vary according to the cost-benefit analysis of adopting benchmarking measures in small and medium-sized IT companies which still benchmark the workspace usage based on cost-saving measures. Also, very sparse research has been conducted in the workspace management domain of IT firms, so the results of this study can further be used as a reference to explore this area.

The study provides useful insights into how benchmarking in the workspace management domain of the CRE industry can be applied to address portfolio-related challenges, divergent client needs and improve workspace usability following energy-efficient policies. Practitioners can use this study as a guide to develop more effective workspace management policies.

This study may guide other firms to benchmark their current workspace usage and evaluate the impact of their workspace management policies based on the theoretical framework of value-added balanced benchmarking criteria.

This research adds value to the limited literature available on the impact of technology-enabled portfolio optimization techniques through benchmarking which can reduce workspace usage and enhance the usability of the workspace.

The purpose of this paper is to understand the interlinkages between corporate social responsibility (CSR) and crowdfunding in the context of disaster relief operations (DRO). It intends to explore how information quality moderates the relationship of CSR and crowdfunding to achieve financial and social stability. The study also controls variables such as type of disaster, size of the firm and sector to which the firms belong while drawing implications.

The study collects empirical data in an Indian context through a structured questionnaire. The respondents belong to organizations which made a financial contribution toward DRO during the past decade (2008–2018). The sample size for data analysis is 232 responses belonging to different industries like plastic, chemical, textile and apparel, automotive parts and electronics, and construction. The study employs partial least squares structural equation modeling for testing the hypothesis.

Results indicate a positive effect of CSR activities on donation-based crowdfunding to achieve financial and social normalcy in a DRO. CSR can thus be used as an alternate way to support DRO. Results also reveal that quality of information positively impacts the relationship between crowdfunding and social aid as well as financial aid offered to the victims of the disasters. It is further observed that the type of disaster accounts for the inflow and frequency of funds made by companies as a part of their CSR activities.

The study restricts its analysis to CSR contributions made by Indian firms for DRO in an Indian context. While the study is centered in an Indian context, it holds strong implications by offering guidelines and framework for integrating funds of the government, CSR contributions of companies and donations made by citizens. The outcome also provokes thoughts on testing the results with multiple disasters across the globe in order to validate the findings and possibly extend them.

The approach of the study holds a unique slot in understanding concepts relating to CSR, crowdfunding and information science literature in the context of DRO. The study offers unique contribution in making the readers aware how CSR funds, when guided through a donation-based crowdfunding platform can help achieve social and financial aid for the victims of natural disaster.

The pharmaceutical retail industry faces leadership challenges, emphasizing the importance of a mechanism to support sales managers. This paper aims to demonstrate how shared leadership (SL) might improve team performance (TP), with knowledge sharing (KS) and psychological safety (PS) serving as dual mediation effects.

The authors used social learning theory (SLT) to support their hypotheses. Using a purposive sampling technique, 440 respondents (65 leaders and 375 team members) from 65 pharmaceutical sales teams in Pakistan were obtained through data collection from dyad sources. The authors also used partial least square-structured equation modeling (PLS-SEM) using SmartPLS 3.3.9 to assess the measurement model and the direct paths testing. The authors also used PROCESS macro version 4 to examine dual mediation effects.

The results revealed that SL does not directly impact TP; rather, it depends on the dual mediating mechanisms of KS and PS.

This is an initial attempt to establish a conceptual model based on SLT, with KS and PS acting as dual mediation mechanisms. This research contributes to the current knowledge of team leadership by concentrating on how SL approaches might promote TP in the pharmaceutical sector.

Gig workers form the backbone of any crowdsourcing platform where they showcase their talent and choose a job of their choice and freedom. The study explores the role of information quality (IQ) and social-mediated dialogue (SMD) in evaluating gig worker engagement and productivity on crowdsourcing platforms. The authors also propose to understand how gig worker productivity could be improved under the moderating effect of game elements.

A conceptual model was developed and empirically tested by integrating media richness theory and dialogic public relation theory. Data were collected from gig workers that are involved in crowdsourcing activities for the past three years. An overall sample of 346 gig workers contributing to at least one of the crowdsourcing platforms was collected. The authors tested the hypotheses using Warp PLS 7.0. Warp PLS 7.0 uses partial least square (PLS) structured equation modeling (SEM) and has been used widely to test path analytical models.

Results reveal that the information quality plays an essential role in the SMD, thereby fostering gig workers' productivity and engagement, which could be improved in the presence of game elements due to their nature of supporting rewards. However, engagement in the platform leading to improved productivity was not supported.

The study lays practical foundations for crowdsourcing platforms as it sets the importance of both IQ and dialogic communication channels. The two-way communication between gig workers and the platforms via accurate, timely, valuable and reliable information forms the key to the task's success. The introduction of the right game element will help to achieve better engagement and productivity.

This study also offers a new dimension to media richness theory and dialogic public relation theory in crowdsourcing platforms. The results would help platform designers and gig employers understand gig workers' quality and performance in a platform economy. The study uniquely positions itself in the area of crowdsourcing platforms by using game elements.

Many corporates in India are constantly working to adapt new sustainable working practices that can reduce average space usage in the Indian workspace. This study aims to analyze the strategic shifts in terms of new approaches to work (NAW) adopted by information technology (IT) companies, influenced by sustainable practices that have a positive impact on the reduction in usage of brick and motor workspace and carbon footprint.

The research is descriptive in nature. A questionnaire survey was sent to certified ISO 41001 Indian IT companies to collect data through SurveyMonkey. Stratified sampling was used to collect a sample of 583 respondents, which was also verified using G* software. The data collected was analyzed using descriptive statistics and partial least square-structured equation modeling (PLS-SEM) to analyze the mediating effect of sustainability on NAW and reduction in usage of workspace.

The structural model results obtained through the bootstrapping technique showed that sustainability has become essential to survive in a competitive business environment while developing NAW that can reduce workspace usage. The findings of this study support the partial mediation effect (38%) of sustainability on NAW and workspace usage patterns in the Indian IT workspace.

This research adds value to the limited literature on the effect of NAW in the Indian IT sector and provides empirical evidence of the impact of technology-enabled NAW based on sustainable practices that can help reduce the demand for workspace.

The purpose of this study is to gain a better understanding of the adoption of smartwatches. Specifically, the robustness of the perceived characteristics of innovation (PCI) model in predicting such adoption is demonstrated. Previous smartwatch research has not used this same technology adoption model. This research demonstrates the value of examining the adoption of wearables and other new technologies (i.e. smartwatches) with the new approach of PCI while avoiding some of the limitations of previous studies.

A survey of 178 respondents was conducted, and the data was analyzed using structured equation modeling and partial least squares. The model described here extends the models used in extant smartwatch research by identifying additional factors.

The results show that three factors (compatibility, trialability and relative advantage) significantly impact behavioral intention to adopt the technology.

With the escalation of remote work, the increase in wearable technology and the widespread use of Wi-Fi technology, the way that employees adopt and use their technology must be reassessed. Therefore, a new approach was sought with an established theoretical base to evaluate the adoption of smartwatches under these evolving circumstances. Specifically, Moore and Benbasat’s characterization of the PCI was selected, which is rooted in Rogers’ diffusion of innovation theory.