Search results

The purpose of this paper is to explore leadership succession in families in business. Although there is a vast amount of research on leadership succession, no attempt has been made to understand this phenomenon by using an intergenerational learning approach. By applying the Double ABC–X model, the authors discuss how resilience is developed through intergenerational learning during family leadership succession in business.

Based on a single case, the authors define pre- and post-event parameters of the business family under study and use the Double ABC–X Model as an analytical framework. Individual and pair interviews, as well as a family firm workshop, were undertaken following an action research approach using multiple interventions. The qualitative data were collected by reflective journals, field notes and observation protocols. Finally, the authors analyze the data according to a circular deconstruction strategy.

The authors find specific pre-event stressor parameters related to mutual mistrust, independent decision making and non-strategic transmission of power, knowledge and responsibility from predecessor to successor. The intervention based on the intergenerational approach during the post-crisis phase focuses on problem solving and coping within the new situation of co-habitation among the two generations. The intergenerational learning approach based on pile-up of demands, adaptive resources and perception is the source of family adaptation. Additionally, the power of the narrative to reflect past events and project the future seems to the point where the family starts developing resilience.

The way family businesses deal with critical and stressful events during leadership succession may lead to intergenerational learning, which is a source of resilient families. The authors apply the Double ABC–X model to understand family leadership succession in business and further develop it to explain how families develop resilience.

The digital direct-to-consumer (D2C) approach has seen widespread adoption across many industries, but its application to regional food products has been slower. This study aims to identify and rank the most significant challenges to the widespread use of digital D2C for regional food products.

A multi-criteria decision-making method called a fuzzy analytic hierarchy process (FAHP) was used to determine the order in which these obstacles were evaluated. Thirty-five barriers were identified and categorized into six categories named technological, operational, sociocultural, financial, market and institutional and regulatory barriers.

Market barriers ranked as the top barrier, and the technological barrier ranked the least significant amongst the main barrier categories for the adoption of digital D2C model for the regional food products. Lack of consumer awareness ranked number one globally, and lack of government subsidies ranked the least amongst the thirty-five identified barriers. Operational barriers came out to be second most significant barrier followed by institutional and regulatory barrier, sociocultural barrier, financial barrier and technological barrier.

The findings of this research were derived through a numerical examination of data gathered from the Indian setting. It follows that the technological, sociocultural, financial, market, operational and institutional constraints, among others, outlined here are all unique to India. Because of the unique nature of the Indian setting, the results of this study can only be used there and not elsewhere. It is possible that future research will broaden the aims of this one and refine its methodology. Digital D2C adoption for regional food products may be prioritized and ranked using quantitative and qualitative data sources like ANP and TOPSIS. It is possible that similar studies may be conducted in nations which have a different set of operational, technological, sociocultural market and financial and regulatory barriers. Conceptual framework can be formed by integrating TAM and TPB to understand the buying behavior of regional food products via digital D2C.

This research is the first to identify challenges to the widespread use of the digital D2C model for regional food products. Policymakers and other interested parties can use this information to better understand the difficulties of expanding the distribution of regional food products beyond their immediate regions.

The purpose of this study is to examine the advancement of cultural transformation over time demands certain alterations in human perceptions. It also aims to examine the 21st century’s many radical changes in India, the constant legal battles to decriminalize homosexuality, and challenges to the rigid dichotomy between heterosexuality and homosexuality. Besides, it influences popular culture among the masses, which has turned out to create a more visible space for the lesbian community. In India, lesbian literature begins synchronously under the shades of women’s writing and feminism that wires new hopes for their identity.

This paper examines a primary text as Indian writer Abha Dawesar’s Babyji (2005). There comes the iconic work of Abha Dawesar’s Babyji (2005), which creates a turning point by introducing the life, inner conflict and turbulence of a teenage girl. In addition, a textual analysis of this novel brings forth an analysis of attributes such as sexuality, gender and the interplay of caste and class that meld lesbian childhood and adolescence. This paper also examines how a lesbian girl adapts to and negotiates her maturation amidst vivid social scenarios and cultural conditioning.

A few studies (Hidalgo, et al., 2013; Bem, 1989; Pyne, 2016) show many children have reached or crossed their teenage life without accurate or affirmative knowledge of sexuality and gender. Parents, teachers and even other intellectuals of the adult world fail to transfer their knowledge effectively to children. Definitely, the relevance of sex education is paramount, but more important is what implementation tactics should be used for the same cause. The point is that sex education should not be condensed into a certain gender or perpetuate parochial discrimination. It needs to adapt an age-appropriate curriculum for the cognitive and emotional development of the individuals. Considering these factors, understanding comprehensive sex education is what is most likely to find sustainable remedies for this matter. Gerald writes about a socialization process and gays and lesbians hiding their identity from family and society; a fear of rejection; there is a social gap in peer and family spheres. These fears prevent lesbian or gay young persons from fully developing their identities (1999). Rao and Mason tested a model derived from minority stress theory in which the perceived impact of Section 377 increases depressive symptoms of sexual minorities by increasing concealment stress, leading to a diminished sense of belonging. Because of their minority status, they are more vulnerable to and have a higher prevalence of mental illness than heterosexual individuals (2018).

Babyji has created a discourse to perpetuate normativity and gives importance to the mental health of the excluded lesbian group. It opens a door to studying teenage groups’ issues and their challenges to understanding social and mental issues regarding their identity. A study on this untouched area is required to highlight their issues and mental health problems. This research is an initiative step to create and provide a platform to raise awareness in society.

This paper aims to examine and compare the export performance and competitiveness of Indian and Chinese textile and clothing industry in post-multifibre arrangement (MFA) era.

Balassa’s revealed comparative advantage Index is used to assess the competitiveness of Indian and Chinese textile and clothing exports.

The results indicate that China’s textiles and garments sector holds a greater proportion of the global market compared with India. India has a robust comparative advantage in silk, carpets and cotton post-MFA. Vegetable textile fibers, paper yarn and woven fabrics of paper yarn are also competitive. China had a strong comparative advantage in silk and fabrics; special woven fabrics, tafted textile fabrics, lace, tapestries, trimmings and embroidery in 2005. China also recorded comparative advantage in silk, man-made filaments: strip and the like of man-made textile materials, fabrics; special woven fabrics, tafted textile fabrics, lace, tapestries, trimmings and embroidery and fabrics; knitted or crocheted in 2021.

This study’s results and recommendations could assist the Indian and Chinese Governments develop policies to upgrade their garment industries.

Though vast literature reviews are available for textile and apparel export performance in India and China separately, there are few studies on comparisons. This study is a significant attempt to evaluate India and China’s competitiveness in the global market.

The purpose of this study is to investigate the role of blockchain technology in reducing online fraud among Gen Y and Gen Z.

This study uses a two-phase approach. Firstly, a systematic literature review is conducted to examine various aspects of blockchain technology and cyber security. Secondly, the Technology Adoption Model is used to study the adoption dynamics of blockchain-based platforms for online data exchange among 415 Gen Y and Z users.

The results indicate that efficiency and security, perceived ease of use, perceived usefulness, and trust have a positive effect on behavioral intention and attitude towards use. This is the first study to examine the role of blockchain technology to reduce fraud among Gen Y and Gen Z.

This study provides new insights into the adoption of blockchain-based platforms for online data exchange among Gen Y and Gen Z. The study highlights the critical areas of concern for the adoption of blockchain technology and provides managerial implications for fintech firms, banks, and e-commerce platforms. It is unique in its focus on the potential for blockchain technology to reduce fraud among Gen Y and Gen Z, which has not been previously explored in the literature.

The emergence of distributed ledger technology (DLT) has transformed the way construction industries approach data management, ushering in an era of increased transparency, security and efficiency. The purpose of this study is to investigate the strategies to promote the adoption of DLT in the Nigerian construction sector. This was done to address the challenges that hinder the widespread adoption of DLT within the Nigerian construction sector.

A comprehensive literature review informed the design of a structured questionnaire for data collection. The questionnaire was distributed among diverse construction professionals to explore their perceptions of potential strategies. The collected data were analyzed using the Shapiro–Wilk test for data distribution, while mean values and standard deviations were used to facilitate the ranking of strategies. The Kruskal–Wallis H-test was used to assess opinion differences, and exploratory factor analysis was applied to uncover underlying dimensions.

The findings revealed the top five strategies for DLT adoption as conducting workshops and seminars to educate professionals, collaborating with universities for DLT courses, encouraging joint projects for shared insights, forming consortia for DLT standards and allocating funding for DLT research in construction. Through factor analysis, the strategies identified were categorized into four principal clusters: awareness and education advancements, government support and incentives, industry collaboration and standards and pilot projects and demonstrations.

While prior studies have identified barriers to DLT adoption and offering recommendations, this research advances the field by empirically investigating and assessing several of these strategies proposed in various studies. This approach provides valuable insights that go beyond existing research, offering a deeper understanding of the practical and contextual dynamics influencing DLT adoption in the construction sector.

Augmented Reality (AR) and Virtual Reality (VR) technologies possess the potential to transform the scenario of making real estate investment decisions through the immersive experience they offer. From the literature it was observed that the research in this domain is still emergent and there is a need to identify the latent variables that influence real estate investment decisions. Therefore, by examining the effects of these technologies on investment decision-making, the purpose of the study is to provide valuable insights into how AR and VR could be applied to enhance customers' property buying experiences and assist in their decision-making process.

From an extensive review of the literature four latent variables and their measure were identified, and based on these a survey instrument was developed. The survey was distributed online and received 300 responses from the respondents including home buyers, developers, AEC professionals and real estate agents. To validate the latent variables exploratory factor analysis was used whereas to establish their criticality second-order confirmatory factor analysis was used.

From the results, the four latent constructs were identified based on standard factor loadings (SFL) that is Confident Value Perception (CVP, SFL = 0.70), Innovative Investment Appeal (IIA, SFL = 0.60), Trusted Property Transactions (TPT, SFL = 0.58) and Effortless Property Engagement (EPE, SFL = 0.54), that significantly influence investor decision-making and property purchase experience.

This study contributes to the literature on real estate investment decisions by providing empirical evidence on the role of AR and VR technologies. The identified key variables provided practical guidelines for developers, investors and policymakers in understanding and leveraging the potential of AR and VR technologies in the real estate industry.

This paper aims to focus on the issue of high employee turnover in the Indian tech industry. An integrative review is conducted to analyse the past and current state of literature, as well as prepare a research agenda for future studies.

A pool of 72 articles published between 2010 and 2022 is reviewed with a special focus on Indian tech employees. This study elucidates the extent and impact of employee retention strategies through content analysis.

Two broad perspectives have been established in the literature: the reasons for quitting and the explanations for staying. By means of a comprehensive review, this paper combines these two aspects of literature and suggests factors under organization’s control to retain competent tech employees.

The study is designed to integrate the two theoretical viewpoints of employee turnover literature by consolidating the reasons behind quitting behaviour and staying intention. Codes combining the two aspects are presented as a valuable resource to retain tech talent.

This study aims to provide a more complete picture of blockchain development by combining numerous methodologies with diverse data sources, such as academic papers and news articles. This study displays the developmental status of each subject based on the interrelationships of each topic cluster by analyzing high-frequency keywords extracted from the collected data. Moreover, applying above methodologies will help understanding top research topics, authors, venues, institutes and countries. The differences of blockchain research and new are identified.

To identify and find blockchain development linkages, researchers have used search terms such as co-occurrence, bibliographic coupling, co-citation and co-authorship to help us understand the top research topics, authors, venues, institutes and countries. This study also used text mining analysis to identify blockchain articles' primary concepts and semantic structures.

The findings show the fundamental topics based on each topic cluster's links. While “technology”, “transaction”, “privacy and security”, “environment” and “consensus” were most strongly associated with blockchain in research, “platform”, “big data and cloud”, “network”, “healthcare and business” and “authentication” were closely tied to blockchain news. This article classifies blockchain principles into five patterns: hardware and infrastructure, data, networking, applications and consensus. These statistics helped the authors comprehend the top research topics, authors, venues, publication institutes and countries.

Since Web of Science (WoS) and LexisNexis Academic data are used, the study has few sources. Others advise merging foreign datasets. WoS is one of the world's largest and most-used databases for assessing scientific papers.

This study has several uses and benefits. First, key concept discoveries can help academics understand blockchain research trends so they can prioritize research initiatives. Second, bibliographic coupling links academic papers on blockchain. It helps information seekers search and classify the material. Co-citation analysis results can help researchers identify potential partners and leaders in their field. The network's key organizations or countries should be proactive in discovering, proposing and creating new relationships with other organizations or countries, especially those from the journal network's border, to make the overall network more integrated and linked. Prominent members help recruit new authors to organizations or countries and link them to the co-authorship network. This study also used concept-linking analysis to identify blockchain articles' primary concepts and semantic structures. This may lead to new authors developing research ideas or subjects in primary disciplines of inquiry.

Given the scarcity of research exploring the influence of emotional dimensions on knowledge hiding (KH), this paper aims to examine how various facets of emotional intelligence (EI) affect teachers’ tendencies to hide knowledge. Additionally, the study delves into the mediating influence of organizational cynicism (OC) and explores the moderating role of servant leadership (SL) in this context.

The non-probability sampling method was used to gather data from 542 university teachers teaching in India. Structural equation modelling using Smart-PLS has been used to test the hypothesis.

The study revealed that EI negatively influences KH. Additionally, OC mediates the relationship between EI and KH. Furthermore, SL moderates the relationship between OC and KH.

As per the authors’ knowledge, the present study makes an additional contribution by investigating the mediating role of OC in the relationship between EI and KH. Moreover, it also investigates the moderating role of SL in the relationship between OC and KH.