Search results

The COVID-19 pandemic severely impacted tourism, and the hotel and restaurant industry was the most affected sector, which faced issues related to business uncertainty and unemployment during the crisis. The analysis of recovery time and the influence factors is significant to support policymakers in developing an effective response and mitigating the risks associated with the tourism crisis. This study aims to investigate numerous factors affecting the recovery time of the hotel and restaurant sector after the COVID-19 crisis by using survival analysis.

This study uses the quarterly value added with the observation time from quarter 1 in 2020 to quarter 1 in 2023 to measure the recovery status. The recovery time refers to the number of quarters needed for the hotel and restaurant sector to get value added equal to or exceed the value added before the crisis. This study applies survival models, including lognormal regression, Weibull regression, and Cox regression, to investigate the effect of numerous factors on the hazard ratio of recovery time of hotels and restaurants after the COVID-19 crisis. This model accommodates all cases, including “recovered” and “not recovered yet” areas.

The empirical findings represented that the Cox regression model stratified by the area type fit the data well. The priority tourism areas had a longer recovery time than the non-priority areas, but they had a higher probability of recovery from a crisis of the same magnitude. The size of the regional gross domestic product, decentralization funds, multiplier effect, recovery time of transportation, and recovery time of the service sector had a significant impact on the probability of recovery.

This study contributes to the literature by examining the recovery time of the hotel and restaurant sector across Indonesian provinces after the COVID-19 crisis. Employing survival analysis, this study identifies the pivotal factors affecting the probability of recovery. Moreover, this study stands as a pioneer in investigating the multiplier effect of the regional tourism and its impact on the speed of recovery.

This is the first article to apply a machine learning approach to the analysis of time on market on real estate markets.

The random survival forest approach is introduced to the real estate market. The most important predictors of time on market are revealed and it is analyzed how the survival probability of residential rental apartments responds to these major characteristics.

Results show that price, living area, construction year, year of listing and the distances to the next hairdresser, bakery and city center have the greatest impact on the marketing time of residential apartments. The time on market for an apartment in Munich is lowest at a price of 750 € per month, an area of 60 m2, built in 1985 and is in a range of 200–400 meters from the important amenities.

The findings might be interesting for private and institutional investors to derive real estate investment decisions and implications for portfolio management strategies and ultimately to minimize cash-flow failure.

Although machine learning algorithms have been applied frequently on the real estate market for the analysis of prices, its application for examining time on market is completely novel. This is the first paper to apply a machine learning approach to survival analysis on the real estate market.

Prior literature has widely established that the design of storage locations impacts order picking task performance. The purpose of this study is to investigate the performance impact of unit loads, e.g. pallets or rolling cages, utilized by pickers to pack products after picking them from storage locations.

An empirical analysis of archival data on a manual order picking system for deep-freeze products was performed in cooperation with a German brick-and-mortar retailer. The dataset comprises N = 343,259 storage location visits from 17 order pickers. The analysis was also supported by the development and the results of a batch assignment model that takes unit load selection into account.

The analysis reveals that unit load selection affects order picking task performance. Standardized rolling cages can decrease processing time by up to 8.42% compared to standardized isolated rolling boxes used in cold retail supply chains. Potential cost savings originating from optimal batch assignment range from 1.03% to 39.29%, depending on batch characteristics.

This study contributes to the literature on factors impacting order picking task performance, considering the characteristics of unit loads where products are packed on after they have been picked from the storage locations. In addition, it provides potential task performance improvements in cold retail supply chains.

The main purpose of this paper is to establish whether trust plays a significant mediating role in the relationship between access to microcredit and survival of young women microenterprises in under-developed financial markets in sub-Saharan Africa. The main focus of this paper is to specifically test whether relational social capital built by young women from homogeneous and heterogeneous groups can be more effective in promoting economic exchange in under-developed financial markets since interpersonal trust has recently been found to harbor group collusion, especially among kins. Overall, the paper distinguishes trust among individuals based on their age, gender and ethnic diversity.

This study used structural equation model to test whether trust significantly mediates the relationship between access to microcredit and survival of young women microenterprises using Analysis of Moments Structures (AMOS) based on recommendations by Hair et al. (2022) and Baron and Kenny (1986).

The findings from this study revealed that trust significantly and positively mediate the relationship between access to microcredit and survival of young women microenterprises in under-developed financial markets in sub-Saharan Africa. Trust developed from relational social capital among young women from homogeneous and heterogeneous groups create a stronger basis for economic exchange in under-developed financial markets.

While this study generates a positive evidence on the impact of access to microcredit on survival of young women microenterprises, the results cannot be over emphasized and generalized because the data were collected from only a single developing country. Future research may extend the current study to include other developing countries to make a more justified comprehensive analysis.

The findings from this study highlights the importance of using a blend of social policy guided by norms combined with formal regulations as an informal contract enforcement mechanism to achieve efficient economic exchange in under-developed financial markets. Relational social capital formed on the basis of informal norms among groups from diverse population can supplement formal laws to enforce contractual obligations in microcredit access, especially among youthful microentrepreneurs, who seems to have stronger relational behaviors than adults. Financial institutions such as banks should use informal contract enforcement system to increase the scope of financial inclusion of young microentrepreneurs, especially in unbanked rural communities in sub-Saharan Africa, Uganda inclusive where formal laws are weak and sometimes not functional. The findings also show that younger people have a stronger relationship behavior than adults. Therefore, policy should create structures that can promote social activities among youth. Governments in sub-Saharan Africa, Uganda inclusive through their respective Ministry of Gender, Labour and Youth Affairs should create youth clubs that can increase interaction and relational social capital among the younger population to derive economic empowerment. sub-Saharan African governments, Uganda inclusive should rely more on social policy based on relational social capital as a missing link to promote and achieve economic development.

This paper provides an evidence on the unique role of age, gender and ethnicity in information sharing and exchange based on social policy in the financial market to limit group collusion. The authors indicate that diversity in relational social capital among young women microentrepreneurs prohibit strategic defaults, which promotes access to microcredit for survival of women micro small and medium enterprises (MSMEs) through socialization. High level of interaction among younger women microentrepreneurs from homogeneous and heterogeneous groups allow them to close the information gap to timely meet borrowing contractual obligations to derive economic benefits. The paper shows that younger women have more trust than older women while searching for economic value through socialization. In fact, social policy can wholly supplement formal policy to promote growth and survival of young women microenterprises, especially in sub-Saharan Africa, Uganda inclusive.

Exposure to a public health threat of significant proportions made current models inadequate to explain the failure phenomenon in small businesses. Hence, the need to reimagine the phenomenon. Borrowing from the principles of biology, this study extended theoretical and empirical perspectives on the failure phenomenon by unpacking its constituent elements and the measurement metrics using the regeneration lens.

Based on a cohort tracked over time, the study estimated the survival probabilities of small and medium-scale enterprises (SMEs) with and without regeneration using the Kaplan–Meier method. The study investigated the factors that predict enterprise regenerative capacity using the multivariate Cox proportional hazard ratios.

Rates of interruption in business activity, by month, ranged between 0% and 18% during the follow-up period. True mortality rates hovered between 0% and 4% over the same period. Over three in five SMEs that experienced interruption in business activity without ceasing operations regenerated at some point in time during the follow-up period. The survival probabilities beyond the follow-up period were 0.85 and 0.44 with and without regeneration effects, respectively. Fresh capital injection (+), the introduction of new/improved processes or products/services (+), perceived business outlook (+) and the presence of debt (−) influenced the capacity to regenerate.

The cohort was followed for only six months. There is a need to continue interrogating the failure phenomenon in other contexts over longer periods using the regeneration lens. Bringing on board academia, financial institutions and other SME-related ecosystem players will be strategic.

The approach provides a more nuanced understanding of the life and well-being of enterprises under conditions of disruption. Improving the precision and validity of failure-related statistics enhances their utility in policy and remediation-related discussions.

The results did not show significant differences in SME mortality rates between male and female-owned enterprises. The results provide further evidence that the failure phenomenon is ungendered. As such, financial institutions and the SME ecosystem at large must eliminate perceptual gender biases in the financing and other support to SMEs.

The study used the principles of biology to reimagine the failure phenomenon in small businesses. The approach breathes life into entrepreneurship research and policy.

This study reviews the literature on institutional theory in international business and examines the institutional factors behind the success or failure of multinational corporations (MNCs) in emerging markets.

This systematic literature review analysed 116 peer-reviewed articles published in leading journals between 2005 and 2022. The R package Bibliometrix and VOSviewer visualization software were used for analysis. A hybrid methodology combining bibliometric and content analyses was utilized to obtain a descriptive evaluation of the publication impact along with a keyword co-occurrence map, context-specific institutional effects and subsidiary strategies.

The Journal of International Business Studies, along with influential authors such as Mike W. Peng, Klaus Meyer, and Mehmet Demirbag, have taken the lead in advancing institutional theories for MNC internationalization in emerging markets. The clusters from the co-word analysis revealed dominant MNC entry modes, institutional distances and MNC localization strategies. The content analysis highlights how the institutional environment is operationalized across the macro-, micro- and meso-institutional contexts and how the MNC subsidiary responds in emerging markets. Meso-level interactions emphasize the relational aspects of business strategies in emerging markets.

Contextualizing subsidiary strategies and institutional forms can help managers align their strategic responses to the dynamic relationship between subsidiaries and the institutional environment. The review findings will enable policymakers to simplify regulatory policies and encourage MNC subsidiary networks with local stakeholders in emerging markets.

Legitimacy strategies such as corporate community involvement in emerging markets are crucial for enhancing societal support and removing stakeholders' scepticism for MNC business operations in emerging markets. Moral legitimacy should be implemented by managers, such as lending support to disaster management efforts and humanitarian crises, as they expand to new business environments of emerging markets.

This study is the first to explore institutional diversity and subsidiary strategic responses in a three-layered institutional context. The findings highlight the relevance of contextualizing institutional perspectives for international business scholars and practitioners as they help build context-specific theoretical frameworks and business strategies. Future research recommendations are suggested in the macro-, micro- and meso-institutional contexts.

A progressive hybrid censoring scheme (PHCS) becomes impractical for ensuring dependable outcomes when there is a low likelihood of encountering a small number of failures prior to the predetermined terminal time T. The generalized progressive hybrid censoring scheme (GPHCS) efficiently addresses to overcome the limitation of the PHCS.

In this article, estimation of model parameter, survival and hazard rate of the Unit-Lindley distribution (ULD), when sample comes from the GPHCS, have been taken into account. The maximum likelihood estimator has been derived using Newton–Raphson iterative procedures. Approximate confidence intervals of the model parameter and their arbitrary functions are established by the Fisher information matrix. Bayesian estimation procedures have been derived using Metropolis–Hastings algorithm under squared error loss function. Convergence of Markov chain Monte Carlo (MCMC) samples has been examined. Various optimality criteria have been considered. An extensive Monte Carlo simulation analysis has been shown to compare and validating of the proposed estimation techniques.

The Bayesian MCMC approach to estimate the model parameters and reliability characteristics of the generalized progressive hybrid censored data of ULD is recommended. The authors anticipate that health data analysts and reliability professionals will get benefit from the findings and approaches presented in this study.

The ULD has a broad range of practical utility, making it a problem to estimate the model parameters as well as reliability characteristics and the significance of the GPHCS also encourage the authors to consider the present estimation problem because it has not previously been discussed in the literature.

Wage employees enter self-employment either directly or in a staged manner and may subsequently undertake multiple stints at self-employment. Extant research on the relationship between entry modes and the persistence and outcomes of self-employment is inconclusive. This study investigates the relationship between wage employees’ initial mode of entry into self-employment and the duration of the subsequent first two stints of self-employment.

This study used a matched longitudinal sample of 9,550 employees who became majority owners of incorporated firms from 2005 to 2016.

The findings demonstrate that the initial mode of entry into self-employment matters for the first two stints at self-employment. Staged entry into self-employment was associated with a shorter first stint and became insignificant for the second stint. Staged entry into self-employment was positively related to the odds of becoming self-employed for the second time in the same firm.

Using a comprehensive and reliable dataset, the paper shifts focus from the aggregated onward journey of novice entrepreneurs (survival as the outcome) to the duration of their self-employment stints. By doing so, the paper offers insights into the process of becoming self-employed and the patterns associated with success/failure in entrepreneurship associated with self-employment duration.

The purpose of this study is to consolidate the existing literature on small retail and develop a conceptual framework using thematic analysis.

The relevant set of 224 articles has been obtained from the Scopus database by applying the PRISMA framework. Bibliometric analysis has been performed using Biblioshiny in Bibliometrix and VOSviewer.

Four major themes have been identified within the conceptual structure of the small retail domain, and a conceptual framework has been developed using the interlinkages within the themes. The intellectual structure of the domain has been explored using citation analysis, co-citation analysis and bibliographic coupling. Future research directions are also identified and documented based on the thematic analysis and overall consolidation of the literature.

This is perhaps one of the first attempts to consolidate the published literature on small retail using bibliometric analysis.

This paper aims to review, discuss and synthesize the literature focusing on the Indian initial public offering (IPO) market. Understanding the Indian IPO market can help answer broader corporate finance questions. The growing number of IPOs in the Indian context, coupled with the increasing importance of the Indian economy in the global market, makes this review an essential topic.

The systematic literature review methodology was adopted to review 111 papers published between 2002 and 2021. The authors used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses approach during the review process. Additionally, the authors use a bibliometric review methodology to examine the pattern and trend of research in this area of interest. Furthermore, the authors conduct a critical review and synthesis of the top 20 papers based on citations. The authors also use a co-citation network and manual content analysis method to identify key research themes.

This review helps in identifying major themes of research in this area of interest. The authors find that majority of the research has focused on IPO performance whereas post-IPO performance needs critical attention as well. The authors develop a comprehensive framework and future research agenda based on their discussion.

Meta-analysis of the literature can be conducted to gain better insights into the findings of prior studies.

This review paper develops a comprehensive overview on Indian IPO market which can be of interest not only to Indian scholarship. India as an economy is increasingly gaining attention at the global level. Hence, the future research objectives as illustrated in the study can be of interest for the global scholarship also.

To the best of the authors’ knowledge, this is the first comprehensive review paper that examines, synthesizes and outlines the future research agenda on Indian IPO studies. This review can be useful for researchers, business policymakers, finance professionals and anyone else interested in the Indian IPO market.