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Over the last four decades – the 1980s, 1990s, 2000s and 2010s – the share of manufacturing in gross domestic product (at current prices) in India has stagnated, whereas the share of services (construction excluded) has increased significantly. The relatively mediocre growth performance of the manufacturing sector as compared to the services sector in India has emerged as a matter of concern. There has been growing recognition in policymaking circles and academia that India needs accelerated growth in the manufacturing industry in the next few decades, so that India's economic growth is led by manufacturing rather than services. In this paper, a comparative analysis of the growth in total factor productivity (TFP) of formal and informal segments of 10 groups of Indian manufacturing industries is undertaken, which is calculated based on KLEMS data obtained from National Accounts Statistics (NAS), published annually by the Central Statistics Office (CSO) of India. The period covered for the analysis of TFP growth is 1980–1981 to 2019–2020, which is broken into four sub-periods. Year wise total factor productivity growth (TFPG) of different industries for the sample period shows a fluctuating growth rate, which includes both positive and negative trends. Decade wise growth and overall TFPG of the different industries also indicate an oscillating pattern, that is, a mix of positive and negative TFPG. The minimum overall TFPG is observed in the coke, refined petroleum products and nuclear fuel industries, and the maximum in electrical and optical equipment for the period 1981–2020.

This study aims to examine the relationship between the personality dimensions of consumers and celebrities; the effect of celebrity personality on attitude towards the celebrity; and the effect of attitude towards the celebrity on purchase intention.

Data were gathered from 400 respondents in the North of England to explore the connections between five consumer personality dimensions (agreeableness, extroversion, openness, conscientiousness and neuroticism) and nine celebrity personality dimensions (neuroticism, extroversion, openness, agreeableness, conscientiousness, sincerity, excitement, stylishness and positivity) and were analysed using structural equation modelling.

The findings suggested that some dimensions of consumer personality, i.e. conscientiousness, extroversion and openness, were significantly related to all the celebrity personality dimensions. Moreover, all the celebrity personality dimensions had a significant effect on consumers’ attitude towards the celebrity; however, only neuroticism, extroversion, openness, sincerity and positivity significantly affected purchase intention. Finally, attitude towards the celebrity had a significant effect on purchase intention.

The study introduces a celebrity personality scale and explores a topic that has not previously been researched.

The purpose of this study is to analyze the impacts of the COVID-19 pandemic on the performance of companies using a hybrid Multi-Criteria Decision-Making (MCDM) approach. Specifically, the study examines Türkiye’s Top 500 Industrial Enterprises to analyze their performance before and during the pandemic, and to capture their performance in determining investment and production strategy.

To achieve the study’s objectives, the Fuzzy Best-Worst Method (F-BWM) was used to obtain importance levels of performance indicators, decreasing the vagueness in experts’ decision-making preferences. The Measurement Alternatives and Ranking According to Compromise Solution (MARCOS) method was used to rank enterprises based on their performance.

The COVID-19 pandemic has clearly had a substantial impact on the performance of Türkiye’s top 500 industrial enterprises. While some companies suffered decreased sales, others reported that their revenues increased or remained constant during the outbreak. The results reveal that the pandemic caused a shift in the initial ranking outcomes for the first two enterprises.

The study’s limitations include the sample size and the time period under consideration, which may have an impact on the generalizability of the findings.

Decision-makers’ investment, employment and operational decisions were influenced by the impact of the COVID-19 pandemic. The results provide insights for decision-makers on how to achieve higher growth and performance under the pressure of the pandemic.

The study’s practical consequences help decision-makers understand how to attain higher growth and performance in the face of the epidemic.

The originality of this study lies in using a hybrid MCDM approach to examine the impact of the COVID-19 pandemic on company performance. A hybrid MCDM approach is proposed to help decision-makers make the best possible investment and implementation decisions.

The sexual minority groups in India seem to be suffering from continued social exclusion affecting their mental health. This study aims to investigate the effect of the hostile attitude of society and lack of social support on the mental health of the Indian LGBT+ members.

Hypotheses were developed by drawing theories and concepts from the literature and were tested using the partial least square–structural equation model with a sample size of 151 of the Indian LGBT+ community.

The findings showed a strong negative effect of the hostile attitude of society on the mental health of the Indian LGBT+ community. The findings further showed that weak problem-focused and emotion-focused coping self-efficacy negatively mediated the relationship between the hostile attitude of society and mental health, while lack of social support negatively moderated the relationship between the hostile attitude of society and both problem-focused and emotion-focused coping self-efficacy of the Indian LGBT+ community.

This study makes a novel and significant theoretical contribution by investigating the effect of the hostile attitude of society and the lack of social support on the mental health of the Indian LGBT+ community members. This study also makes a significant practical contribution in underpinning the urgent need for social inclusion and support to improve the mental health of Indian LGBT+ community members, which is currently in dire condition.

Customer value co-creation behavior is promising but undertheorized. To bridge this gap, this study examines the viability of a social cognitive theory positing that customers' value co-creation behavior is shaped by their co-creation experience, self-efficacy, and engagement.

Using healthcare as a case, a stratified random sample comprising 600 patients from 40 hospitals across eight metropolitan cities in an emerging economy was acquired and analyzed using co-variance-based structural equation modeling (CB-SEM).

Customers' co-creation experience has a positive impact on their co-creation self-efficacy, co-creation engagement, and value co-creation behavior. While co-creation self-efficacy and engagement have no direct influence on value co-creation behavior, they do serve as mediators between co-creation experience and value co-creation behavior, suggesting that when customers are provided with a co-creation experience, it enhances their co-creation self-efficacy and engagement, ultimately fostering value co-creation behavior.

A theory of customer value co-creation behavior is established.

This research aims to address the need for a more in-depth empirical investigation of exploring the link between the adoption of corporate citizenship (CC) practices and different aspects of customer behavior in a developing country. Also, it develops a research framework and assesses the mediating role of brand image, brand love, brand reputation and brand trust between customer perceptions of CC and customer loyalty.

Working with a sample of 290 private bank customers in Iran, partial least square-based structural equation modeling is used to test the conceptual model.

The findings reveal significant and positive relationships between CC, brand image, love and reputation. Indirectly and in the relationship between CC and customer loyalty, there are significant relationships through the serial roles of image-reputation, image-love and image-trust. Most importantly, the findings add value to the current knowledge by exploring the mediating effect of brand image, love, reputation and trust between CC and customer loyalty. Finally, this study has resulted in an updated prediction model of private banking customer loyalty.

This study makes a unique theoretical contribution to the literature by evaluating and comparing the mediating role of image, love, reputation and brand trust between CC and customer loyalty using the hierarchy of effects model.

This study aims to examine the patterns of and factors influencing agricultural diversification among farmers in the Kaithal district of Haryana, India.

The authors analysed the data collected from a sample of 400 agricultural households from five blocks of Kaithal, Haryana. Agricultural diversification is measured through the Herfindahl Index. Determinants of agricultural diversification have been evaluated using the two-stage least square method.

The average value of the diversification index among farmers in Kaithal is 0.51, indicating that there is room for diversification. In the study area wheat and rice are the dominant crops, while vegetables emerge as the most common non-staple crop. Regression analysis indicates that farmers of Scheduled Caste (SC) are more inclined to diversify crops. Factors such as larger land ownership, utilization of tractors, government subsidies, education and loans positively impact agricultural diversification. The availability of irrigation facilities, and employing labour negatively influence it.

Focus on SC within the diversification policies for equitable access to resources. Special programmes aimed at educating small landowners and casual labourers about diversified crops. Implementing an “Uberisation” model for tractors, providing subsidies on seeds and equipment, customized financing programmes tailored to the needs of small-scale farmers can contribute to boosting agricultural diversification.

This study contributes by providing insights into the farm-level determinants of agricultural diversification in Kaithal district, Haryana. It adds to the understanding of factors influencing agricultural diversification in developing economies at the micro level.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2023-0963.

Instrumental and emotional information influence paradoxically on people’s decision-making, and similar influences are more evident in e-commerce scenarios where physical information is limited. This study aims to construct a systematic explanatory framework for the influence of multidimensional recommendation information diversity (RID) on users' click and purchase decisions based on the social support theory (SST).

This study analyses 453,176 data from 67,079 users of a Chinese e-commerce platform, applying lasso algorithmic techniques and cross-fit partialling-out (XPO) regression for empirical analysis.

The study finds that instrumental support information diversity (ISID) and emotional support information diversity (ESID) play divergent roles, and that the effects of both on user decision-making are inconsistent with mode-flip and marginal change. Differences in users' information craving and information overload processing mechanisms for instrumental and emotional information, leading to an inverted U-shaped effect of ISID on consumption decisions, while ESID has a U-shaped effect. Additionally, supplier certification eliminates the marginal change in ESID, and products with a high information standardisation degree eliminate the marginal change in ISID.

Research results reveal the opposing roles of the two types of RID and the application boundaries of their roles, providing empirical evidence for academic research.

Recent technological advancements, often linked to Industry 4.0, require organizations to be more agile and innovative. Blockchain technology (BT) holds immense potential in driving organizations to achieve efficiency and transparency in supply chains. However, there exist some insurmountable challenges associated with the adoption of BT in organizational supply chains (SC). This paper attempts to categorically identify and systematize the most influential challenges in the implementation of BT in SC.

This study resorts to an extensive literature review and consultations with experts in the field of supply chain management (SCM), information technology and academia to identify, categorize and prioritize the major challenges using VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) and Combined Compromise Solution method (CoCoSo).

The top three classes of challenges revealed in this study are privacy challenges (PC), infrastructure challenges (IC) and transparency challenges (TC). Maintaining a balance between data openness and secrecy and rectification of incorrect/erroneous input are the top two challenges in the PC category, integration of BT with sustainable practices and ensuring legitimacy are the top two challenges in the IC category, and proper and correct information sharing in organizations was the top most challenge in the TC category.

Future scholars and industry professionals will be guided by the importance of the challenges identified in this study to develop an economical and logical approach for integrating BT to increase the efficiency and outcome of supply chains across several industrial sectors.

The purpose of this paper is to analyze the effect and mechanism of platform incentives on users’ knowledge collaboration performance (KCP) and the configuration leading to high KCP in online knowledge communities (OKCs) in the post-COVID-19 pandemic era from a cross-culture perspective.

A survey method and a standard questionnaire were applied. The data was analyzed using multiple regression and fuzzy set qualitative comparative analysis.

The results indicate that, for both kinds of users, self-enhancement and communication positively affect the KCP. User engagement significantly mediates the relationship between communication and KCP and knowledge absorptive capacity moderates the relationship between user engagement and KCP. In contrast, material incentive positively affects the KCP of Chinese users, while hurting the cross-cultural sample. And the promotion of KCP for cross-cultural samples does not require a higher engagement and knowledge absorptive capacity, while paying more attention to short-term interests, such as communication and self-enhancement.

The study only divides users into Chinese and cross-cultural foreign users, without a distinction between foreign users in different countries. In addition, the research is based on cross-sectional data and failed to try to explore the long-term effects of these incentives from the time dimension.

This study explores the incentive mechanism and configuration of OKC platforms to achieve high KCP for different users from a cross-cultural perspective. It provides new ideas and solutions for precise incentives for users of OKC platforms.