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Demand planning (DP) is a key element of supply chain management (SCM) and is widely regarded as an important catalyst for improving supply chain performance. Regarding the availability of technology to process large amounts of data, artificial intelligence (AI) has received increasing attention in the DP literature in recent years, but there are no reviews of studies on the application of AI in supply chain DP. Given the importance and value of this research area, we aimed to review the current body of knowledge on the application of AI in DP to improve SCM performance.

Using a systematic literature review approach, we identified 141 peer-reviewed articles and conducted content analysis to examine the body of knowledge on AI in DP in the academic literature published from 2012 to 2023.

We found that AI in DP is still in its early stages of development. The literature is dominated by modelling studies. We identified three knowledge clusters for AI in DP: AI tools and techniques, AI applications for supply chain functions and the impact of AI on digital SCM. The three knowledge domains are conceptualised in a framework to demonstrate how AI can be deployed in DP to improve SCM performance. However, challenges remain. We identify gaps in the literature that make suggestions for further research in this area.

This study makes a theoretical contribution by identifying the key elements in applying AI in DP for SCM. The proposed conceptual framework can be used to help guide further empirical research and can help companies to implement AI in DP.

Globally, the governance has shifted from positivist to the regulatory-centric approach, necessitating accurate contouring of regulatory governance framework. The study proposes a novel approach to unravel the regulatory governance framework in the context of the Indian electronics industry – extendable to other sectors in India and other emerging economies.

The research objective has been operationalized through document analysis and thematic analysis of semi-structured interview transcripts in three steps: (1) arrive at parameters of the regulatory governance framework, (2) identify instruments against each parameter and (3) characterize parameters in terms of dominant instruments and their underlying modalities. The authors have adopted a set of 6 Cs modalities (control, communications, competition, consensus, code and collaboration) and regulatory space theory to analyze existing modalities mix in the dominant instruments.

In summary, the study has (1) identified eight macro and twenty micro regulatory governance parameters, (2) mapped regulatory governance parameters with instruments and institutions (3) revealed the top two dominant modalities for each regulatory governance parameter.

The existing modality characteristics of regulatory governance parameters can be used by manufacturers, investors and other stakeholders to make a realistic assessment of regulatory governance and reduce regulatory risk and regulatory burden.

The multidimensional use of parameters, instruments and modalities broadens the understanding of the existing regulatory governance framework and may assist the regulators in optimizing it to meet market requirements.

This paper aims to explore the effectiveness of 360-degree virtual reality (VR) videos compared to traditional preview modes in shaping customer perceptions and behavioral intentions toward the hospitality service provider. Specifically, the study investigates how self-construal moderates this relationship, offering novel and nuanced understanding of the customer decision-making process in the hospitality sector.

Three experiments were carried out. Study 1 examined the impact of preview modes on customers’ behavioral intentions. Study 2 examined the psychological mechanism of mental imagery and being hooked in the relationship between preview modes and behavioral intentions. Study 3 examined the moderating role of self-construal in the relationship between preview modes and behavioral intentions.

The study findings revealed that 360-degree VR videos are more effective than traditional preview modes in determining customers’ behavioral intentions. Mental imagery and being hooked explain this relationship. Furthermore, customers with highly independent self-construal evaluate 360-degree VR videos more favorably, while those with highly interdependent self-construal evaluate traditional preview modes more positively.

The research indicates that adopting VR applications can offer competitive advantage for hospitality service providers. The study findings provide hospitality providers with insights to tailor their marketing strategies by selecting preview modes that align with the psychological profiles of the customers.

The originality of the study lies in its pioneering efforts to explore how self-construal shapes customer responses to different preview modes. Furthermore, this study reveals the importance of psychological constructs in understanding the impact of VR applications on customer behaviors.

This study investigates the influence of augmented reality (AR) on consumer behavior and decision-making in the context of retail. By developing a conceptual framework that highlights AR’s distinct characteristics and its contribution to the theme of human-centricity and resilience, this research explores the cognitive and affective responses triggered by AR experiences and their subsequent impact on consumer choices.

The study employs a comprehensive literature review approach, delving into the intricate relationships between AR, consumer behavior and decision-making. Through the exploration of factors such as interactivity, vividness, body image perception, narcissism, information processing preference, privacy concerns and situational surroundings, the study develops a nuanced understanding of the mechanisms underlying AR’s effects.

The study aligns with the contemporary focus on human-centeredness and resilience in the digital age. It reveals that interactive and vivid AR experiences significantly enhance consumer enjoyment and influence decision-making processes. Furthermore, the study uncovers how individual traits and contextual factors shape consumer responses to AR, shedding light on the broader landscape of consumer behavior.

While acknowledging limitations in generalizability and potential publication bias, this study offers a fresh perspective by accounting for moderating effects and situational contexts. Future research directions might involve longitudinal studies to capture evolving trends in the dynamic realm of AR in retail.

Businesses and marketers have the opportunity to utilize the knowledge acquired from this study to effectively integrate AR technologies into their customer engagement strategies, thereby promoting a customer-centric approach in their operations. The results emphasize the utmost importance of creating AR experiences that align with user preferences and provide meaningful interaction, ultimately leading to the development of sustainable consumer decisions in the digital age.

Distinct from existing literature, this study contributes to the theme of human-centricity and resilience by examining the influence of AR on consumer behavior. This contribution enriches discussions on sustainable consumer choices in the digital era. Employing a comprehensive literature review approach, we explore key factors including interactivity, vividness, body image perception, narcissism, information processing preference, privacy concerns and situational surroundings. This approach deepens our understanding of AR’s influence on consumer behavior, presenting a valuable addition to the field.

This study aims to develop a micro-meso-macro framework of brand pride to understand brand pride, its forms, characteristics and the interdependence of this construct, in a comprehensive manner.

Literature in brand pride has been systematically extracted, analysed and evaluated, to propose an integrated framework which presents a holistic view of brand pride.

At the micro level, brand pride is associated with owning individual level characteristics such as personality, culture, values, beliefs and motivation action and behaviour of the individual; at the meso level, brand pride is associated with characteristics at brand level, actions and behaviour such as brand personality, brand value and image. At the macro level, brand pride is associated with brand interactive characteristics, actions and behaviour, at a broader network of systems and environment such as brand responsible behaviour and brand’s adaptability in creating a robust network in uncertainty.

This paper identifies brand pride as a useful connecting point between brands and the surrounding environment, to achieve a more sustainable branding practice. Although previous researchers explored its effects on brand loyalty in various contexts, a comprehensive, holistic model for enhancing brand pride, suitable for application at various situations and various levels, was missing. This research fills this gap through a unique contribution by proposing a micro-meso-macro framework, which is a three-layered approach to brand pride.

We integrate agency theory and extended resource-based view (ERBV) to examine the impact of business group heterogeneity on the performance of the business group affiliated firms.

The differential ownership structure of business groups (degree of ownership by the promoter, domestic institutional and foreign institutional investors) determines the effect of intergroup heterogeneity, and the differential directors' interlocks (strength and type of directors in the interlocking arrangement) with the affiliated firms assess the impact of intragroup heterogeneity. Acquisition performance is operationalized through cumulative abnormal returns to the acquirer upon acquisition announcement and is computed using the standard event study methodology.

With 476 domestic and cross-border M&A deals announced in India between 2005 and 2021, our findings indicate that the firms affiliated with foreign and promoter-owned groups received positive announcement returns. Furthermore, the type of directors and the interlocks formed therein matter for an affiliated firm. While the affiliate’s executive and the non-executive non-independent directors on the board raise agency issues and negatively impact its performance, the independent directors mitigate them. Further, the market negatively views the interlocks formed by affiliated firms' non-executive, non-independent directors who undertake independent positions in other affiliated firms, as indicated by the negative announcement returns.

To the best of our knowledge, this is the first study to examine the impact of intergroup ownership heterogeneity on the acquisition performance of affiliated firms. Further, evaluating the effect of the type of interlocks in addition to strength is a distinctive feature of this research. This novel aspect of the study attempts to further understand the corporate governance of business groups and its implications, an area often referred to as the “black-box” in the business group literature.

The existing research on institutional distance implicitly posits the monotonic effect of contextual differences on the multinational enterprise (MNE) behaviors (e.g. entry mode, research and development (R&D) investment and subsidiary reverse knowledge transfer). Namely, MNEs from the same home to the same host countries are thought to have homogenous perceptions on the institutional influences and thus behave similarly. However, the authors argue that MNEs, due to their different performance aspirations in host countries, will have heterogenous perceptions on such contextual influences and thereafter behave differently.

Drawing on the behavioral theory of the firm and employing a unique sample comprised of 140 Chinese MNEs' foreign direct investments (FDIs) in Taiwan in 2017, the authors developed and tested the hypotheses.

The authors found that the emerging-market MNEs' (EMNEs’) perceptions of higher local institutional difficulties will be strengthened when their local performances are below their aspiration levels, making them more risk-taking. Nevertheless, EMNEs' local experiences and local equity-based partnerships will mitigate such negative perceptions, mitigating their risk-taking orientation.

The empirical findings make contributes to the international business (IB) literature by extending knowledge on the determinants and conditions of the heterogeneity in EMNEs' behavioral orientations when in face of the same institutional distance. The authors also provide managerial implications by showing that EMNEs' firm-specific resources (i.e. local experience and local equity-based partnership) will alter their perceptions of local institutional difficulties, leading to different behavioral orientations.

This study explored the enabler role of novelty-seeking and materialistic values on technology-based outcomes: usefulness, ease of use and enjoyment of virtual tourism. Furthermore, this study explored the direct effects of Gen Z’s word-of-mouth intentions. The study also explored the contingent effects of gender and educational level.

Survey-based responses were gathered from 342 Gen Z participants using specific filtering criteria to ensure sample representativeness. Subsequently, the final responses were analysed using partial least squares.

The findings suggest a significant role for novelty-seeking and materialistic values in Gen Z’s overall perception of virtual tourism. Furthermore, with higher perceived usefulness, ease of use and enjoyment, Gen Zs are more inclined to share positive word-of-mouth for virtual tourism experiences.

This study aims to explore the orientation of Gen Zs toward virtual travel experiences in an emerging economy such as India. Implications for managers and practitioners are also discussed.

The paper aims to examine the influence of closed and open innovation practices on economic performance. This papert also examines the mediating roles of innovation performance and firm performance. The study uses innovation theory based on knowledge management for theoretical support.

The methodology involves two steps. First, all the variables relevant to the adoption of innovative approaches and performance parameters are identified. Subsequently, primary data are gathered from decision-makers of 200 biotechnological firms and a structural equation modeling analysis is performed.

The study's results showed that the open innovation practice, such as interaction with large research and development (R&D) firms and customers, influences the performance parameters. The findings indicate that closed and open innovation practices positively impact performance measures like innovation, firm and economic performance. The results also indicate the mediating role of firm performance. However, the innovation performance was not found to mediate the relationship.

This examination gives experimental bits of knowledge from any confining influence innovation approaches in India. Analysts and specialists of firms can use the results of the current study to comprehend the effect of various innovation practices on different performance measures.

E-healthcare has gained importance, particularly in emerging economies, because of its ability to provide health-care products and services while minimizing contact with the external world, which was particularly relevant during the COVID-19 pandemic. Despite its advantages, consumers seem hesitant to use mobile apps to access such services. Previous research has found that perceived usefulness, time consumption and price significantly impact consumer willingness to purchase e-healthcare products on mobile apps. This study aims to investigate the role of consumer trust in the willingness to purchase e-healthcare products on mobile apps while controlling for the effects of perceived usefulness, time consumption and price.

Data have been collected using non-probability judgmental and snowball sampling techniques from five major cities in India. After the data cleaning process, 238 questionnaires were used for data analysis in this study. The authors used confirmatory factor analysis to validate all the constructs and subsequently used the hierarchical regression technique to conduct this study.

The study’s findings show that consumer trust is the most crucial factor for predicting a willingness to purchase e-healthcare products through mobile apps, despite several other variables that also have a positive impact. These findings present important practical implications for mobile app developers, health-care professionals and lawmakers to further enhance the adoption of e-healthcare products on mobile apps.

The research was conducted by considering primarily young adults (those between the ages of 20 and 45 – above) and targeted five cities in India. This highlights a limitation in the research, as small groups of the intended audience were included (mainly young people).

This study considers perceived usefulness, time and price, in addition to trust, to predict consumer willingness to purchase. Its findings can be valuable in the fields of consumer behavior, health care and technology, especially in emerging markets.