Search results

This study aims to identify and examine the antecedents of attitude toward entrepreneurial behaviors (ATEB) of firms. Additionally, this study also identifies and examines the antecedents of innovativeness and proactiveness. Furthermore, this study explains how factors within and outside the organization affect ATEB, innovativeness and proactiveness.

This study uses the attention-based view (ABV) and examines the effects of long-term focus and industry clockspeed on attitude toward firms’ entrepreneurial behaviors (EB). This study measures ATEB by analyzing the top management team’s words in the earnings conference calls. It applies the two-stage least squares regression with fixed effects and instrumental variables to conduct the empirical analysis.

The results indicate that the direct effects of long-term focus and industry clockspeed on ATEB are not significant. However, the moderating effect of industry clockspeed on the relationship between long-term focus and EB is significant and positive. The results indicate that firms that are operating in fast clockspeed industries exhibiting long-term focus exhibit EB. Furthermore, the results also indicate that long-term focus and industry clockspeed collectively affect innovativeness and proactiveness.

This research helps firms to develop entrepreneurial behavior operating under various task environment conditions.

This study applies the ABV of the firm and contributes to the area of firm-level EB, while prior studies have not implemented this perspective in investigating firm-level EB. Past studies have not applied the ABV of the firm to study EB, innovativeness and proactiveness either independently or collectively.

Supplier selection studies have used a wide variety of supplier evaluation criteria, due to the diversity of the purchasing context. The purpose of this study is to identify the critical supplier selection criteria which are important across industries and across purchasing contexts, and subsequently estimate the importance of these criteria to the procurement practitioners.

First, a Delphi study has been conducted to identify the critical supplier selection criteria across manufacturing industries. Then, data were collected from 188 firms across 12 industries and analysed with fuzzy analytic hierarchy process for group decision making, to estimate the relative importance of these criteria.

Findings indicate that seven criteria are of critical importance to Indian manufacturing industries. Also evaluation criteria like product quality, delivery compliance and price have maximum criticality, while criterion like e-transaction capability is gaining in importance, with the increased adoption of e-procurement platforms.

The study has been conducted in India, while focusing on Indian manufacturing industries. Similar study conducted in developed economies may produce different results.

Findings will be useful for practitioners for benchmarking supplier selection processes, not only in India, but also in similar emerging economies. Also, the outcome will provide insights for suppliers for developing systemic improvements.

There has been no study in recent years which has attempted to estimate the importance of supplier selection criteria, while taking a multi-industry approach. This study identifies the critical evaluation criteria and estimates their relative importance to procurement experts.

The purpose of this study is to provide a framework of managerial responses to the Industry 4.0 phenomenon, which has impacted the productivity of Indonesian manufacturing companies while revolutionizing global industries.

The study employs qualitative research using the Grounded Theory Method since research in this area is still in its preliminary stages. The study elicits insights from 12 operation managers through a semi-structured interview and a focus group discussion. Using content analysis, the study formulates relationships among Industry 4.0 initiatives, its driving factors and challenges as well as critical success factors and the expected benefits.

The findings reveal that Indonesian manufacturers have engaged in Industry 4.0 initiatives: cyber-physical systems, the internet of things, Big Data and cloud computing. These initiatives require managers to adopt best practices, appoint champions as change agents, conduct training and even tailor the job qualifications of their subordinates to suit the current technology.

The qualitative method allows an in-depth investigation that is synthesized into a conceptual framework, but this framework still needs to be empirically tested. The study is currently based on informants from large manufacturing companies. Future studies could scale up the research and validate the findings.

This exploratory framework could guide managers in their strategic and operational decisions while embracing the Industry 4.0 transformation inside the organization.

Prior studies examining the adoption of Industry 4.0 principles by Indonesian manufacturing companies are rare. Furthermore, conceptual studies dominate the existing literature related to the Industry 4.0 concept. This study attempts to fill the gap and provides a framework that is based on grounded empirical data of manufacturing companies in Indonesia, a newly industrialized economy.

In today's competitive industries, the selection of best suitable maintenance strategy is dependent on large number of quantitative and qualitative factors, and it becomes an extensively difficult problem for maintenance engineers. Over the years, a diverse range of solution methodologies have been developed for solving this multi-criteria decision-making (MCDM) problem. In this paper, the authors have presented a comprehensive review of latest maintenance strategy paradigms and solution approaches proposed for the selection of an appropriate strategy in various industries. It would provide a systematic mapping of developments in this field and identify some research gaps to explore further studies.

A systematic state-of-the-art comprehensive literature review on maintenance strategy paradigms and selection approaches is presented in this study. In this study, 87 research articles published in peer-reviewed journals, since year 2012, are reviewed.

For the selection of a suitable maintenance strategy, a variety of criteria are considered to better evaluate the alternatives. In this study, contemporary strategies are discussed, and their applications in different industries are also depicted. Moreover, through the analysis of extant literature, critical criteria are selected and classified in six major categories (namely, economic, technical, safety, environmental, feasibility and social) and further sub-categorized in quantitative and qualitative classes. These clusters of criteria can be helpful as an initial set of criteria for survey and then case- or industry-specific criteria can be shortlisted for further alternative evaluation.

From the perspective of maintenance managers, maintenance management can be a very difficult task, considering the numerous factors affecting the decision-making process. In order to help in the decision-making process, this study presents the contemporary maintenance strategies in a systematic manner. In a previous study (Kothamasu et al., 2006), these strategies were classified into repair and prevent classes only. With the developments of autonomous maintenance and design out maintenance (DOM), it was fair to include continuous improvement class. It will help managers and practitioners to identify, according to organization policy, appropriate maintenance strategy alternatives for the asset. A benchmark set of state-of-the-art maintenance strategies are laid out with their applications. The industrial case studies discussed in this study summarizes the optimal maintenance strategies for respective industries. Also, most critical criteria are identified from the existing studies for various industries that can help maintenance practitioners in acknowledging the critical factors and making appropriate decisions. Evaluation parameters for the maintenance strategy selection (MSS) generally conflict with each other, and considering the difficulty of quantifying the qualitative measures, it is a challenging task to determine the optimal trade-off. In order to overcome these challenges, popular MCDM approaches, demonstrating effective results across different industries are discussed with their limitations and applications. Decision-makers can refer this study to identify best suitable decision-making technique for the MSS problem in the industry of their choice. Maintenance managers and engineers can refer the case studies illustrated in Tables 1 and 2 to analyse the MSS techniques proposed by previous studies with industry-specific applications.

This study is an attempt to provide a reference point for research scholars interested in the field of maintenance management and/or development of maintenance strategy framework. This study provides a critical state-of-the-art review of efforts made in the field of MSS. The prominent maintenance strategies being implemented in contemporary industries are discussed with respective case studies. Interested researchers and academicians can familiarize themselves with these strategies and their distinct features in this study. In order to guide future studies and provide a reference point for academicians, MSS critical criteria used in extant literature are identified and classified into a comprehensive benchmark framework. Moreover, the industrial case studies are discussed with the most critical criteria of MSS for different industries and which strategy is most suitable for the respective industries based on these criteria. Table 1 presents different MCDM techniques and their hybrid applications for solving MSS problem that can help researchers in identifying research gaps. Future research can be directed at addressing the limitation of MCDM approach employed in existing studies and comparing the differences in results obtained by the proposed approach. Different industrial case studies with considered maintenance strategy alternatives are presented in Table 2, which can help researchers in identifying the industries that have not been studied yet. Moreover, not all of the existing studies are carried out by considering all the presented benchmark strategies, which can be addressed in future studies by interested researchers. More detailed discussion on research gaps is presented in the following section.

From the analysis of the extant literature, the authors could observe that the decision-making process adopted in numerous studies was limited to the classical maintenance strategies and not inclusive of aggressive maintenance strategy alternatives. To overcome these limitations and help maintenance managers in the decision-making, this study depicts the contemporary maintenance strategies, critical evaluation criteria and MCDM frameworks (employed to solve the MSS problem with industrial case studies) in a structured manner.

The pandemic crisis has resulted in global chaos that had caused massive disruption to the supply chain. The pharmaceutical industry, in particular, has been working tirelessly to ensure that they can cater to the people who need them. With restrictions being imposed to prevent the spread of the COVID-19 virus, the movement of raw materials required has been affected, thus creating the need for the procurement function to be innovative. This study proposes the application of Industry 4.0 concepts into the procurement activities of an organization to make it more resilient and efficient.

To study the intensity of the challenges, Total Interpretive Structural Modelling is used alongside the “Matrice des Impacts Croises Multiplication Appliquee a un Classement” (MICMAC) technique.

Resilience can be achieved through the collaboration between the organization and its network of suppliers. This is however easier said than done. High and unclear investments have been identified as the challenge that is taking a toll on all technological investments in the pandemic era. The study also shows that organizational inertia which is present in established and structured firms are a deterrent as well.

This study is based on the application of procurement 4.0 to ensure that pharmaceutical supply chains stay least affected since they are essentials. This study using a multi-criteria decision-making approach to prioritize the challenges. This will help practitioners make decisions faster.

This paper aims to present a review of literature to assess the progress of research on managerial issues in the pharmaceutical industry globally.

Literature from peer‐reviewed journals available on online databases was collected for the last decade, using the keyword search technique, and then classifying it according to major managerial issues, research methodologies used and geographical zones.

Behavioral issues at the consumer/physician level and non‐behavioral issues in pricing and medical expenses are studied the most, followed by supply chain management, research and development and manufacturing and services operations management. There is scope for conjunction of research efforts across themes and players. The studies focus on the developed nations through the application of field research and mathematical modeling techniques. The studies in the American region focus more on development and marketing while studies in Europe are aligned towards manufacturing and distribution in the industry. Studies in the developing nations are mostly exploratory in nature and require more focus on issues of research and development and marketing in addition to a substantial increase in overall research efforts. More trans‐continental studies are needed to consolidate research efforts globally.

The review is not exhaustive of all studies available on the industry and each of the issues. Conference papers, unpublished material and lectures were excluded.

Identification of the present and emerging issues together provides practitioners in healthcare systems with an idea of available techniques and strategies to solve problems in healthcare/pharmaceutical management.

A study on research of management issues in the pharmaceutical industry across the world has perhaps not been conducted in the recent past: this paper fills part of that gap.

This study aims to investigate socioeconomic diversity in the hospitality industry by examining the relationship between social class background, family expectations and career outcomes of Generation Z employees. The relationship was further tested by investigating job titles and perceived prestige.

Two studies were developed to test the research questions – first, the social prestige of hospitality jobs compared to other industries with similar skill sets. Second, a between-subjects experimental design was used to examine the moderating effect of job title on the relationship between social class background, family expectations and career decisions.

The findings of the first study confirm the negative perceptions of the hospitality industry. Study 2 demonstrated a negative relationship between social class background and intentions to choose hospitality through family expectations among Generation Z. The negative effect was attenuated when a manager position was offered. However, college students majoring in hospitality reported positive intentions to accept a job in the hospitality industry for both frontline and managerial positions.

The findings emphasize the importance of extending organizational diversity beyond traditional demographics like race, gender and age by examining socioeconomic factors that influence career decisions among Generation Z employees. By considering social class background as a dimension of organizational diversity, the hospitality industry can cultivate a more inclusive culture and enhance recruitment and attraction efforts.

Examining the relationship between social class background and career decisions through the lens of social cognitive career theory provides insight into the social cognitive process of career development among Generation Z. The unique contribution of this study extends beyond observable dimensions of diversity to challenge the socioeconomic composition of the hospitality industry.

The purpose of this study is to analyze the literature on industry-specific corporate social responsibility (CSR) practices.

Using a multiple-keyword search, the authors identified 302 articles reporting on such practices, published in 99 different academic journals between 1995 and 2014. These articles were analyzed to map the CSR literature, identify which industries have been under greater scrutiny and distinguish trends in the most researched industries.

The authors’ findings indicate that the CSR studies are very unevenly distributed and that the issues studied and the methods used vary widely across industries. The authors also map this field of study and propose suggestions on where research on industry-specific CSR should go in the future.

The first extensive, systematic analysis of the industry-specific CSR literature is provided. The current research adds value to the literature by highlighting the key issues investigated, as well as those that require further inquiry.

The purpose of this paper is to detect variations in earnings management activity across industries and the possible influence of various industry variables on these variations.

A total sample of 4,249 firm-year observations from 13 different industries spanning a total of eight years (from 2005 to 2012) is used for this purpose. The ordinary least squares regression technique is used to test the influence of various industry variables on earnings management activity.

The findings indicate the presence of earnings management practices in Malaysian industries. Among industry-level variables, capital intensity, volatility and profitability are found to influence aggregate earnings management. Further analysis shows that volatility only influences the smoothing measure while profitability influences the discretionary measure. Interestingly, industry competitiveness and leverage are not able to explain the variations in earnings management across industries.

To the authors’ knowledge, this is the first study which documents the role of various industry characteristics in influencing earnings management activity. It highlights the importance of considering industry-level variables in a study on earnings management and, hence, adds to the growing literature on earnings management.

The purpose of this paper is to examine industry herding among the institutional investors and to find whether their herding behaviour is intentional or unintentional.

The study uses Lakonishok et al. (1992) model to examine the presence of industry herding behaviour among institutional investors. To determine whether the herding observed is intentional or unintentional, herding measure is regressed with volatility, volume, beta and return. The period of the study is from 1 April 2005-31 March 2015.

The findings of the study showed that though institutional investors have herding tendency towards most of the industries, in the overall period industry herding was not significant. The herding found in some industrial sectors was linked to economic performance of those sectors in India during the period of study and hence the herding was unintentional in nature.

This is the first attempt to study industry herding among institutional investors and their intent in Indian market ever since the country opened its market to foreign investors in a big way. Present study is limited to the use of only bulk/block data instead of the entire trading data for the period.

This study is the first attempt to investigate industry herding behaviour of institutional investors in the market using their bulk and block trading data. The herding observed in well performing industries has been shown to be unintentional and hence rational. The results indicate that the entry of big institutional investors, including foreign institutions into the Indian market has not destabilised the market by irrational herding.