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This paper provides new evidence on Indian tourism firms by investigating the role of a firm's financial conditions typified by its leverage, earnings, size, cash holdings, and excess cash in moderating the pandemic-led idiosyncratic volatility in its stock prices.

The authors employ a firm-level panel comprising 82 publicly-listed tourism firms from India. Firm risk is estimated for the period beginning January 2020 to December 2020.

This paper finds non-linear effects of the pandemic on the idiosyncratic risk of the sample firms. Precisely, stock price volatility rises, but as the market absorbs this information, volatility subsides even as the disease spreads further. Further, lower levels of past debt and earnings and higher cash holdings ameliorate the pandemic's effects on tourism firms' risk. Contrasting the view that “excess” cash reflects poor operational performance, we show that “excess” cash firms are better prepared to face the adverse effects of the pandemic.

This study’s sample period fully encompasses the first wave of the pandemic (January–December 2020) of the novel coronavirus infection spread.

To the best of the authors’ knowledge, this is the first study to assess the moderating effects of company fundamentals on the risk of Indian tourism firms. In doing so, the authors account for non-linear effects of the pandemic on firms' idiosyncratic volatility over time.

Artificial intelligence (AI)-based human capital management (HCM) software solutions represent a potentially effective way to leverage and streamline a bank’s human resources. However, despite the attractiveness of AI-based HCM solutions to improve banks’ effectiveness, to the best of the authors’ knowledge, there are no current studies that identify critical success factors (CSFs) for adopting AI-based HCM in the banking sector. This study aims to fill this gap by investigating CSFs for adopting AI-based HCM software solutions in the banking sector.

Full consistency method methodology and technology–organization–environment, economic and human framework are used for categorizing and ranking CSFs.

The study identifies the technological and environmental dimensions as the most and least important dimensions for AI-based HCM adoption in banks. Among specific CSFs, compatible technology facilities, sufficient privacy and security and relative advantages of technology over competing technologies were identified as the most important. Implementation of AI-based HCM solutions requires significant outlays of resources, both human and financial, for banks.

The study provides bank administrators a set of objective parameters and criterion to evaluate the feasibility of adopting a particular AI-based HCM solution in banks.

The purpose of this paper is to identify the factors influencing investment decisions in mobile services for profitablity and to become a global leader in mobile services sector.

A two-stage methodology is followed. In the first stage, factors are identified from literature, and are validated with telecommunication domain experts using the t-test. In the second stage, interpretive structural modeling (ISM) is used to understand the complex interrelationships among various factors. Further, MICMAC analysis is performed to analyze the indirect relationships and their effect on different factors by stabilizing the rank based on driving and dependence power. Based on MICMAC analysis, four clusters are identified to aid the policy- and decision-makers.

The major contribution of this research is imposing directions and dominance of various factors to make informed decision-making for investment in mobile services to meet the upcoming demand for mobile services in Indian telecommunication sector.

The applicability of these research findings is limited to emerging telecommunication market.

This paper forms the basis for identifying various factors that act as the driving force for the Indian telecommunication operators to pay special attention toward mobile services, with telecommunication data analytics and developing context-aware services. This paper will aid policy-makers in the government, managers in telecommunication companies and other stakeholders such as content providers, channel partners and application developers to take a lead role in developing appropriate mobile services to meet local needs of Indian users. It will help in developing strategies to collaborate and motivate other stakeholders, including device manufacturers to understand and work collaboratively to become world leader in mobile services.

This paper provides a framework for understanding the various factors that encourage telecommunication companies to establish and invest in mobile services and setup a separate vertical in their organization with a focus on mobile services to meet the future demands of Indian market. Appropriate utilization of telecommunication data analytics, personalization of services, customization in local languages and support for convergent services would encourage adoption of mobile services.

In globalized market, organizations of all sizes are having huge opportunities for growth. However, due to various resource constraints, it has become challenging for small and medium enterprises (SMEs) of growing economies to survive in this global competition. Effective supply chain management (SCM) can be a major driving factor for success of Indian SMEs in dynamic world economy. SMEs face many operational challenges while implementing effective SCM. The purpose of this paper is to study different strategic issues for successful implementation of SCM in Indian SMEs.

A survey has been conducted in Indian SMEs of different sectors. Major constructs of survey instrument are motivations, hindrances, investment priorities, supply chain practices and performance. In total, 1,500 Indian SMEs have been approached for collecting response through survey instrument. 257 complete responses were finalized. Statistical analysis of data acquired from survey is performed by using SPSS software.

It is observed that managing customers, organization resources, and inventory are main SCM practices. Major investment areas are systems for developing quick response and quality management. Currently, human resource and knowledge management have been found to be less priority areas for SMEs. The major focus of Indian SMEs is on cost and lead time reduction by having effective SCM.

Novelty of this study is that strategic issues for effective SCM in context to Indian SMEs have been analyzed. The findings of the study will help Indian SMEs in doing strategic planning for being competitive in the global market.

This study aims to explore the relationship between digital transformation and resilience development in the Australian food supply chain (FSC), and identify the contribution of digital technologies to it using the dynamic capabilities theory as theoretical lens.

For that, a mixed-method approach was used. It combines both quantitative and qualitative data to identify trends and details of the phenomenon, yielding more robust findings. We firstly collected and analyzing quantitative data obtained from food industry practitioners and, then, qualitative data gathered through semi-structured interviews with experts.

The study findings suggest that the relationship between digital transformation and resilience varies among tiers of the FSC and that digital technologies adoption affects resilience development differently across tiers. This highlights the potential cost savings of developing strategies that jointly address digital transformation and resilience development, improving performance outcomes and determining the extent to which digital technologies enhance or inhibit certain aspects of resilience in the FSC.

The study frames the relationship between digital technologies and resilience within the dynamic capabilities theory and suggests that digitalization can enhance resilience by enabling organizations to sense, seize, and transform strategies. We also provide insights for managers to develop strategies that simultaneously enhance digitalization and resilience, resulting in improved performance during disruptive events.