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In social marketing practice, there is no all-encompassing approach that guides researchers and practitioners to build theory-driven social marketing interventions. While the Co-create–Build–Engage (CBE) process offers a roadmap for marketing application, including outlining when and where social marketing’s eight benchmark principles have been applied, limited practical guidance on how and when theory should be applied is offered. This paper reports one case study demonstrating how theory was applied to deliver a theory-informed well-being behavior change intervention.

This paper proposes and applies a new five-step theory-driven social marketing intervention build process (BUILD) drawn from an extensive base of social marketing research and application. Using a case study method, we showcase how the five-step process was applied to inform the design, build and implementation of a well-being behavior change intervention.

This study proposes a five-step process to build theory-driven social marketing interventions called BUILD: Begin with the objective, Use theory, Initiate program design, Let’s produce and Develop the engagement plan. This study provides a step-by-step and easy-to-follow BUILD process which outlines how social marketers can apply a selected theory to inform program design and implementation.

The BUILD process offers a roadmap to build theory-driven social marketing interventions that include all elements of intervention development, namely, objective-setting, theory evaluation, selection and application, producing the program and planning for program engagement.

This study provides a novel five-step process to help social marketing researchers and practitioners build theory-driven social marketing interventions.

The purpose of this paper is to analyze more than three decades of theory testing published in leading operations management (OM) journals.

This piece examines the amount of theory testing, the extent to which theories are tested multiple times, and the disciplinary origins of the theories that are tested.

The analysis revealed that empirical OM researchers have increasingly responded to demands for more theory-driven knowledge over time. OM researchers are developing and using a wide array of domestic theories to understand empirical data. The examination also revealed a substantial focus on theory borrowed from other scientific fields.

The findings here suggest that OM is clearly a maturing discipline. As the discipline matures, it is important to consider to what extent borrowed theories and frameworks can offer value to OM. A preliminary vetting model is advanced in order to critically assess foreign theory. It is hoped that future screening promotes only the most useful non-domestic theory, thereby ensuring sufficient journal space for domestic theory and resulting in effective solutions to the pressing, practical problems of the OM field.

Machine learning (ML) has recently gained momentum as a method for measurement in strategy research. Yet, little guidance exists regarding how to appropriately apply the method for this purpose in our discipline. We address this by offering a guide to the application of ML in strategy research, with a particular emphasis on data handling practices that should improve our ability to accurately measure our constructs of interest using ML techniques. We offer a brief overview of ML methodologies that can be used for measurement before describing key challenges that exist when applying those methods for this purpose in strategy research (i.e., sample sizes, data noise, and construct complexity). We then outline a theory-driven approach to help scholars overcome these challenges and improve data handling and the subsequent application of ML techniques in strategy research. We demonstrate the efficacy of our approach by applying it to create a linguistic measure of CEOs' motivational needs in a sample of S&P 500 firms. We conclude by describing steps scholars can take after creating ML-based measures to continue to improve the application of ML in strategy research.

This paper examines the evolution of the core academic leader development course at the United States Air Force Academy. The course serves as a key part of student leadership development integrated into all four years of a student’s education and their roles within the organization. The curriculum focuses on skills, character, and critical thinking in leadership contexts. The desired effect is to engage students where they are in their development and to train them in the practice of effective, professional team leadership within their teams and the larger organization. Assessment strategies such as reflection, journaling, self-assessment, and practiced application of course material are designed to fit into students’ leadership experiences so students apply what they learn in an immediate, relevant context.

The purpose of this paper is to present the evaluation results of a novel performance measurement framework, which has been designed for the particular needs of small- and medium-sized enterprises (SMEs). Prior research indicated that performance measurement is not much engaged in SMEs. The proposed framework aims to address this by creating bottom-up measurement systems based on service delivery processes. The paper presents the framework as well as its tools and gives insights into both the evaluation and its results.

The framework and its tools have been evaluated in a first iteration of prototype implementation according to design science principles. Methodological triangulation was applied engaging participant observation, questionnaires, and formative evaluation. In the course of the evaluation the framework was assessed from a quality, user, and bird’s eye perspective.

The evaluation results show that the application of the Technology Acceptance Model and goal setting theory did contribute to develop a performance measurement system (PMS) that is characterized by usefulness and ease of use. Deficiencies could be noted with regard to renowned quality criteria for PMS, especially concerning balance. First lessons learned are outlined.

The main contribution is the theory-driven development of the performance measurement framework and its corresponding tools. The application of this approach resulted in accepted tools and improvements of the motivational power of performance goals. This is important to overcome the current gap between research results and practical application of such frameworks and tools.

The purpose of this paper is to develop and test theory-driven hypotheses on the influence of corruption and gender inequality on logistics performance.

This paper develops hypotheses based on a review of the literature and theory linking corruption, gender inequality and logistics performance. Testing the hypotheses draws on the following secondary data sources: the World Bank Logistics Performance Index, Transparency International’s Corruption Perceptions Index and the United Nations Development Programme Gender Inequality Index. Regression analysis is used to test the hypotheses.

A significant direct effect is evident between corruption perceptions and perceived logistics performance. Corruption is detrimental to logistics. Further, there is evidence of an indirect effect, via gender inequality. Gender inequality is also linked directly to lower logistics performance. Gross domestic product/capita enters the analysis as a control variable.

While the analysis uses secondary data, sources are credible and their methods – while not perfect – are logical and appear to be reasonable. It is possible that excluded variables could further explain the relationships under study. This implies future research opportunities, perhaps involving case studies of specific nations.

The results should inspire businesses, non-governmental organizations and governments to invest in, aid, advocate for and legislate toward greater gender equality – and against corruption. Logistics educators have an important role in disseminating this message.

Gender inequality and corruption are current, global social issues. Moving forward toward equality and away from corruption are the right moves. Such moves appear to also yield better logistics.

This paper is among the first linking corruption and gender inequality to logistics performance. It shows how social issues impact logistics performance at a national level.

The use of thematic analysis (TA) as a qualitative analytical technique is gaining traction in higher education research. This is a positive development, since TA has a lot to offer in terms of enhancing scholars' analytical prowess. However, its usage in higher education as a field of study appears at times to be inaccurate. In other cases, methodological steps remain unclear, if not completely obscured, making it difficult for a reader to understand how this method should be conducted and/or how specific results/findings have been achieved. Also, researchers have widely embraced a variation of TA that emerged in the last decade and a half, neglecting the original, rigorous method put forward by Boyatzis in the late 1990s. This contribution takes a critical look at the current use of TA in higher education research. It highlights current issues in its application, presents and constructively criticizes the most employed approach to TA in higher education, and proposes greater consideration for TA's original specification and procedural guidelines.

Purpose – To demonstrate where and how transport planners could benefit from insights gained by psychological theory and research.

Methodology – Theory-driven narrative review.

Findings – An extended version of Ajzen's (1991) Theory of Planned Behaviour is proposed which could be used for empirically analysing how environmental and psychological factors influence the individual decision to cycle.

Research implications – The review indicates that taking into account psychological insights could considerably increase the understanding of individual bicycle use. Currently research systematically analysing how psychological processes mediate the relation between environmental features and individual cycling is rare.

Practical implications – The review indicates that current interventions for increasing cycling are not very effective. It is assumed that taking into account insight from psychological research may help to develop new and more effective interventions for promoting cycling. Furthermore, studies evaluating the effects of these interventions in a methodological acceptable way are urgently needed.

The purpose of this paper is to examine the empirical validity of transformational, transactional and laissez‐faire leadership and their sub‐scales among physician managers.

A nation‐wide, anonymous mail survey was carried out in the United States, requesting community health center executive directors to provide ratings of their medical director's leadership behaviors (34 items) and effectiveness (nine items), using the Multifactor Leadership Questionnaire 5X‐Short, on a five‐point Likert scale. The survey response rate was 40.9 percent, for a total 269 responses. Exploratory factor analysis was done, using principal factor extraction, followed by promax rotation).

The data yielded a three‐factor structure, generally aligned with Bass and Avolio's constructs of transformational, transactional and laissez‐faire leadership. Data do not support the factorial independence of their subscales (idealized influence, inspirational motivation, individualized consideration, and intellectual stimulation under transformational leadership; contingent reward, management‐by‐exception active, and management‐by‐exception passive under transactional leadership). Two contingent reward items loaded on transformational leadership, and all items of management‐by‐exception passive loaded on laissez‐faire.

A key limitation is that supervisors were surveyed for ratings of the medical directors' leadership style. Although past research in other fields has shown that supervisor ratings are strongly correlated with subordinate ratings, further research is needed to validate the findings by surveying physician and other clinical subordinates. Such research will also help to develop appropriate content of leadership training for clinical leaders.

This study represents an important step towards establishing the empirical evidence for the full range of leadership constructs among physician leaders.

This study developed a systematic measurement scale for the organizational knowledge creation practices. The authors used five knowledge creation phases – sharing tacit knowledge, creating concepts, justifying concepts, building prototypes, and cross‐leveling knowledge – from Nonaka et al.'s knowledge conversion theory as the theoretical foundation.

A total of 914 survey responses collected from 14 for‐profit Korean business organizations representing the country's leading businesses were used to examine the factor structure of those five phases, using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA).

Results confirmed that the current version of knowledge creation practice measurement, which has five sub‐dimensions along with ten items, is valid and applicable specifically in the Korean for‐profit business context in terms of the psychometric properties of the measurement and measurement factor structure.

The generalization issue still remains one of the research limitations because all data sets were collected from Korean business organizations. More sample diversity needs to be considered for further research in terms of cross‐cultural comparison research, which could strengthen the validity of the current developed measurement.

From the practical standpoint, organizations can utilize this measurement to diagnose their status of knowledge creation, at team and organization levels.

This measurement could promote more dynamic research on areas of knowledge creation in terms of valid and economic size of measurement. From the practical standpoint, organizations can utilize this measurement to diagnose their status of knowledge creation at team and organization levels.