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Taiwan’s hotel industry was adversely impacted by the COVID-19 pandemic. This study aims to examine the effect of strategic choices by Taiwanese international tourist hotels before and during the pandemic environments.

A data envelopment analysis (DEA)-based Malmquist methodology is used in this study to provide a mechanism to assess Taiwanese hotel strategy performance. Changes in the productivity and performance of Taiwanese international tourist hotels were analyzed in the periods before and during the pandemic to uncover insights useful should a similar crisis occur in the future. Panel data were obtained from the annual report of international tourist hotels published by the Taiwan Tourism Bureau from 2017–2020. Two groups of hotels were analyzed in this study: city hotels and scenic hotels.

The findings of this study reveal that chain hotels tended to perform better than independent hotels in both city and scenic areas during the global pandemic. Specifically, the crisis caused a substantial decline in productivity and profitability for international tourist hotels in Taipei City during the COVID-19 period. Compared to city hotels, findings also indicate that most international tourist hotels in scenic areas were able to maintain better productivity, including larger-sized scenic hotels.

The DEA-based analysis provides unique and valuable insights for hotel firm leaders on how to better identify and make strategic choices when responding to future crises.

This chapter provides an introduction to the world of family companies and family constitutions from a legal perspective. It first studies the legal types of business organizations that family firms have chosen across time and jurisdictions. It then illustrates how early predecessors of family constitutions evolved in the late Middle Ages and what modern family constitutions look like in different countries today. Further considerations are devoted to the governance framework of family firms. The chapter concludes by exploring the potential legal effects of family constitutions under German company and contract law.

The purpose of this paper is to contribute to the growing body of research literature on case clearance levels. Through a social artifact framework, the authors seek to understand the role that documentation of key solvability factors in investigative reports plays in shaping case clearance outcomes.

For this study, 166 non-fatal shooting investigative case files were obtained from a local mid-sized urban police department and coded to assess whether investigators identified key solvability characteristics for non-fatal shooting incidents. Using a logistic regression, the authors assessed the extent that investigative characteristics mentioned in case files were associated with the odds that the case was cleared by arrest.

The findings from this study indicate that investigative case files as a data source are exceedingly unreliable. Investigators do not consistently document investigative practices and intelligence. And those that are consistently documented are a part of institutionalized practices that are unique to their corresponding police department.

This study is original in that it uses a social artifact framework to sharpen the focus on the role that the effective documentation of critical evidence plays in leading to arrests in gun violence cases.

This study examines the association between the use of strategic management accounting (SMA) practices and competitive advantage and the moderating role of four aspects of organisational culture – teamwork orientation, outcome orientation, innovation orientation and attention to detail orientation – on this association. Online survey data were collected from 408 accountants in Australian business organisations, and structural equation modelling (SEM) was used to analyse the data. The results indicate a positive association between the use of SMA practices and competitive advantage with such an association positively moderated by one cultural dimension, teamwork orientation. Specifically, the findings indicate that the positive effect of SMA practices on competitive advantage is dependent upon the fit between the use of SMA practices and teamwork orientation with more (less) teamwork-oriented organisations exhibiting a stronger (weaker) association between the use of SMA practices and competitive advantage.

This research fills a gap in process science by defining and explaining entropy and the increase of entropy in processes.

This is a theoretical treatment that begins with a conceptual understanding of entropy in thermodynamics and information theory and extends it to the study of degradation and improvement in a transformation process.

A transformation process with three inputs: demand volume, throughput and product design, utilizes a system composed of processors, stores, configuration, human actors, stored data and controllers to provide a product. Elements of the system are aligned with the inputs and each other with a purpose to raise standard of living. Lack of alignment is entropy. Primary causes of increased entropy are changes in inputs and disordering of the system components. Secondary causes result from changes made to cope with the primary causes. Improvement and innovation reduce entropy by providing better alignments and new ways of aligning resources.

This is the first detailed theoretical treatment of entropy in a process science context.

This chapter takes a panoramic view to explore the lives of collegiate Black men. We begin with brief reflections from our own experiences to position ourselves to and alongside Black men's lives and college years. After setting the stage through our own reflections, we explore the literature on Black men's lives during their college years and pay particular attention to their social statuses, campus engagement, and health and well-being. Two critical components in many Black men's collegiate experiences are how they are projected in wider US society through deficit-based perspectives and repositioned away from educational success. We interrogate these realities and advance a discussion on ways to improve the conditions, environment, and understanding of their college journeys and possibilities. We conclude with recommendations for research, practice, and policy.

The purpose of this study is to examine the rostering practices and work experiences of medical scientists at four health services in the Australian public healthcare sector. There are over 16,000 medical scientists (AIHW, 2019) in Australia responsible for carrying out pathology testing to help save the lives of thousands of patients every day. However, there are systemic shortages of medical scientists largely due to erratic rostering practices and workload issues. The purpose of this paper is to integrate evidence-based human resource management (EBHRM), the LAMP model and HR analytics to enhance line manager decision-making on rostering to support the wellbeing of medical scientists.

Using a qualitative methodological approach, the authors conducted 21 semi-structured interviews with managers/directors and nine focus groups with 53 medical scientists, making a total 74 participants from four large public hospitals in Australia.

Across four health services, manual systems of rostering and management decisions do not meet the requirements of the enterprise agreement (EA) and impact negatively on the wellbeing of medical scientists in pathology services. The authors found no evidence of the systematic approach of the organisations and line managers to implement the LAMP model to understand the root causes of rostering challenges and negative impact on employees. Moreover, there was no evidence of sophisticated use of HR analytics or EBHRM to support line managers' decision-making regarding mitigation of rostering related challenges such as absenteeism and employee turnover.

The authors contribute to HRM theory by integrating EBHRM, the LAMP model (Boudreau and Ramstad, 2007) and HR analytics to inform line management decision-making. The authors advance understandings of how EBHRM incorporating the LAMP model and HR analytics can provide a systematic and robust process for line managers to make informed decisions underpinned by data.