Search results

This chapter examines the application of exploratory sequential mixed methods design in the context of small accommodation enterprises (i.e., home-stay). This study, therefore, discusses the exploratory sequential mixed methods of data collection and analysis and provides practical illustrations based on a study of small tourism enterprise sustainability practices in Ghana. The findings demonstrate that mixed methods overcome the weaknesses of a mono-method and offer an in-depth understanding of tourism and hospitality phenomena. In addition to providing a practical guide to emerging tourism scholars, the current study highlights the ability of mixed methods to develop emerging practitioners' skills in both qualitative and quantitative data. In conclusion, the exploratory sequential mixed methods design offers pragmatic data collection techniques that are non-existent in mono-methods. Accordingly, it is recommended for exploring research questions when there is limited information and high flexibility is needed.

The authors content analyze 76 empirical Strategic Management Journal articles to determine how studies control for threats to internal validity, a common source of flaws in research designs. Results indicate that most studies fail to control for one or more threats to internal validity. In particular, selection effects were the most frequently appearing threat, followed by history effects, ambiguity about the direction of causal inference, changing data sources and subject mortality. In general, the results suggest that strategy researchers need to more carefully account for threats to the internal validity of their research designs. Suggestions for addressing these problems are provided.

Social entrepreneurs who use market mechanisms to solve wicked problems (Rittel & Webber, 1973) may benefit from practices based on design thinking. Design thinking offers approaches to work iteratively on both problem and solution spaces collaboratively with multiple diverse stakeholders, which is characteristic of innovating for social change. This research conceptualizes designing as a construct formed by three practices: making improvements, generating creative leaps, and problem-solving. Using Boland and Collopy’s (2004) conception of a sense-making manager, it proposes “how” nascent social entrepreneurs take actions and also proposes “what” specific activities they undertake for the development of the venture. A conceptual model proposing “what” it is that social entrepreneurs do and “how” they go about their activities affecting new venture development is tested using structural equation modeling. Preliminary support for the predictive capability of the model is encouraging, suggesting that practices based on design thinking may be further developed in order to advance theoretical understanding of the application of design thinking for social entrepreneurship.

With the national emphasis on the use of evidence-based practices in educational settings, intervention research within the field of special education is being scrutinized. No Child Left Behind (NCLB) has defined evidence-based practices primarily by research that is based on quantitative, experimental designs (i.e., RCT). Although the use of appropriate experimental designs has an important place in educational research, defining evidence-based practices based on research design alone is limiting. One critical aspect of research that has not received much attention is the importance of rigorous and precise measurement and systematic replication of research findings. The purpose of this chapter is to review issues surrounding measurement and its effect on validity in intervention research in the field of behavioral disorders. Specifically, we discuss how more rigorous measurement can positively influence the internal, external, construct, and social validity of research findings. A review of current trends in behavioral disorders intervention research is discussed as well as implications for future research.

Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.

The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.

The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.

Purpose – The technologies teams use in organizations have dramatically changed in the 11 years since the 2000 Volume, Research on Managing Groups and Teams: Technology. This is an update focusing on new research and perspectives.

Approach – I recall where we left off in 2000 and then present a plea for changing our research approach to one that focuses on actionable research more aligned on how teams design their work than the effects we see when they do. I review a variety of literatures relevant to teams and technology and then suggest what the next 10 years may bring.

Findings – The scholarship on teams, technology, and teams and technology has blossomed, though not evenly. We are only beginning to see actionable research related to teams and technology.

Practical implications – The pace of organizationally relevant technology change has outstripped our ability to provide high-quality research in a timely manner if we maintain our current practices of studying individual or even interactions of effects as they exist in organizations. Our research will be more helpful if we shift our focus to how team members design their work.

Originality – I make two direct and dramatic requests of my colleagues. First, that they become more precise in their presentation of or at least specify the technological settings used in their research. Second, that they shift to actionable research that explicitly considers team, technology, and the processes through which team members design their work.

Mixed methods research (MMR) represents an alternative methodological approach, combining qualitative and quantitative research styles, and enabling researchers to explore complex phenomena in detail. This chapter provides a critical view of mixed methods research and its application in social science research, with examples from tourism and hospitality used to guide those aiming to undertake mixed-methods research projects. The chapter provides insight into the characteristics of MMR, distinguishing it from a multi-method approach. It also provides a detailed explanation of different MMR designs and highlights the advantages and challenges of adopting a mixed-methods approach. Moreover, the chapter discusses approaches to analysis which are pivotal to MMR design. Finally, the chapter concludes with recommendations for researchers hoping to adopt a mixed-methods approach.

The design of work has been shown to influence a host of attitudinal, behavioral, cognitive, well-being, and organizational outcomes. Despite its clear importance, scholarly interest in the topic has diminished over the past 20 years. Fortunately, a recent body of research has sought to reenergize research into work design by expanding our view of work design from a narrow set of motivational work features to one that incorporates broader social and contextual elements. In this chapter we seek to review the literature on work design and develop a framework that integrates both job and team design research. We begin by briefly reviewing the history of work design in order to provide needed historical context and illustrate the evolution of job and team design. We then define work design, particularly as it relates to incorporating job and team design elements and transitioning from a view of jobs to one of roles. Following this, we identify a comprehensive set of work design outcomes that provide the basis for understanding the impact that different work characteristics can have on individuals and teams. We then offer an extended discussion of our integrative model of work design, which includes three sources of work characteristics (task, social, and contextual) and the worker characteristics implied by these characteristics. Having defined the range of work and worker characteristics, we then discuss some of the fit and composition issues that arise when designing work, as well as discuss the mechanisms through which the work characteristics have their impact on outcomes. Finally, we discuss research into informal forms of work design.