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The purpose of this paper is to investigate the likelihood of firm exit, focusing on firm- and sector-specific factors and other potential constraints that may lead to exit.

The authors address the main research question by using hazard-cox and probit models on plant level data for the period 1998–1999 to 2012–2013, drawn from the Annual Survey of Industries collected by the Central Statistical Organisation.

The authors find that probability of exit reduces with improved firm performance. Urban firms, proprietary firms and smaller firms are more likely to exit as compared with their respective counterparts. The findings are robust to alternate measures of performance, alternate specifications and different methods.

Studies of entry and exit rates at a point in time are useful in examining the turnover of establishments. But to understand the establishment survival, the authors must also examine the probability of firm exit and the possible determinants that aid exit. There are institutional factors that prevent easy exit of firms from an industry. It would be worthwhile to see how the exit rate will be impacted if these barriers ceased to exist. In this study, the authors construct a model of exit, which would help us to predict firm exit.

Due to increasing scandals involving non-halal foods, contamination and fraudulent practices within the halal food supply chain, this paper aims to identify pivotal factors closely tied to halal food traceability and subsequently proposes a comprehensive halal food traceability model rooted in these factors.

The approach involved conducting a content analysis to meticulously gather data from existing scholarly works. Subsequently, the authors analysed this data using a thematic approach.

The extensive literature review yielded the identification of eight pivotal factors for the adoption and implementation of effective halal food traceability systems. These factors encompass consensus on halal food standards, government support, meeting consumer demands, ensuring the authenticity of halal food integrity, leveraging technological advancements, adherence to halal standards and certification systems, fostering stakeholder collaboration and promoting research and educational initiatives. Building upon these factors, this study presents a halal food traceability factorial model that can serve as a foundation for constructing a robust and readily-adoptable traceability system within Muslim countries.

The proposed halal food traceability model offers invaluable insights to stakeholders within both private enterprises and governmental bodies. By taking into account the identified factors, these stakeholders can significantly enhance their prospects for the successful adoption and implementation of traceability systems. Additionally, the paper expounds upon practical recommendations for practitioners and highlights avenues for future research aimed at establishing a robust halal traceability system across Muslim countries.

This paper stands as a significant contribution within the limited body of research addressing the development of an effective and readily-adoptable traceability model, thereby bolstering the integrity and safety of halal food. The outcomes of this paper are expected to catalyse improvements in the adoption and implementation of halal food traceability practices across Muslim nations.

This study analyzes the performance implications of adopting blockchain to support supply chain business processes. The technology holds as many promises as implementation challenges, so interest in its impact on operational performance has grown steadily over the last few years.

Drawing on transaction cost economics and the contingency theory, we built a set of hypotheses. These were tested through a long-term event study and an ordinary least squares regression involving 130 adopters listed in North America.

Compared with the control sample, adopters displayed significant abnormal performance in terms of labor productivity, operating cycle and profitability, whereas sales appeared unaffected. Firms in regulated settings and closer to the end customer showed more positive effects. Neither industry-level competition nor the early involvement of a project partner emerged as relevant contextual factors.

This research presents the first extensive analysis of operational performance based on objective measures. In contrast to previous studies and theoretical predictions, the results indicate that blockchain adoption is not associated with sales improvement. This can be explained considering that secure data storage and sharing do not guarantee the factual credibility of recorded data, which needs to be proved to customers in alternative ways. Conversely, improvements in other operational performance dimensions confirm that blockchain can support inter-organizational transactions more efficiently. The results are relevant in times when, following hype, there are signs of disengagement with the technology.