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This study aims to build on the dynamic capability view by examining dynamic capabilities associated with public value in public procurement.

A qualitative case study approach is used in this study. The interview and secondary data consist of eight cases of value-creating procurement from four public organizations.

The findings connect dynamic capabilities and public value in terms of innovation generation and promotion, well-functioning supplier markets, public procurement process effectiveness, environmental and social sustainability and quality and availability of products or services.

Dynamic capabilities in public procurement are necessary to improve public procurement.

This study extends understanding of how sensing, seizing and transforming capabilities contribute to public value creation in both innovative and less innovative (i.e. ordinary) procurement scenarios.

The paper aims to clarify the multivariate effects of follower communication apprehension (CA) and demographic dissimilarity on follower perceptions of the leader–follower relationship quality (i.e. measured by leader–member exchange (LMX) theory). This study examined the possible mediating effects of follower CA on the relationship between demographic dissimilarity and LMX.

Research was collected from self-report ratings of one member of the dyad; several proactive techniques were utilized to reduce common method variance in the development and administration of the survey instrument. In total, 260 (N = 260) full-time hospitality industry employees participated in the study.

The results of this study indicate demographic dissimilarity has minimal effect on LMX and CA. However, the results indicated that follower CA was negatively related to follower perceptions of LMX quality. In addition, the results indicated that tenure working with the supervisor was negatively related to follower CA and positively related to follower perceptions of LMX quality.

Research results may lack generalizability, and causality cannot be confirmed. Future studies utilizing longitudinal designs and/or data collected from each member of the dyad may provide support for current findings.

This paper includes implications for understanding how situational characteristics influence follower CA and perceptions of LMX to encourage supervisors to increase communication with new subordinates, especially during the organizational acculturation process, thus reducing turnover. Furthermore, the significant relationship between age dissimilarity and CA offers practical implications for managing and celebrating generational differences in the workplace and bridging the gap between generations by maximizing communication between supervisors and subordinates. Communication is an essential consideration in the hospitality industry linked to creativity, relationship building and enhanced service experiences. Ultimately, this paper provides guidance for leaders to build sustainable, positive relationships with subordinates through more effective communication and build more inclusive service-based organizations.

This paper contributes to communication and leadership management practices by addressing four major problems: (1) limited research on situational characteristics that inhibit LMX quality, (2) limited research on communication variables as antecedents to LMX, (3) minimal research on the relationship between CA and LMX and (4) non-existent research on CA as a mediating variable in the relationship between demographic dissimilarity and LMX.

This study analyzes the impact of the COVID-19 pandemic on the consumption of locally produced food. In particular, it examines an extended model of the theory of planned behavior, with the addition of the perceived risk of becoming infected with the disease, locavorism and internal locus of control.

The study employs data collected from an online panel of consumers from the five largest cities in Spain (n = 1,000). It uses partial least squares structural equation modeling (PLS-SEM) to test and validate the proposed theoretical model.

The results indicate that the perceived risk of COVID-19 drives consumers to embrace locavorism more and, although locavorism is a strong predictor of attitude, internal locus of control also has a strong impact on attitude and switching intentions. Subjective norm and attitude are strong predictors of switching intentions and purchase intentions, and switching intentions also have a powerful impact on purchase intentions.

This study extends previous research on locally produced food consumption in that it has proposed and tested a new conceptual model with the inclusion of the perceived risk of COVID-19, locavorism, internal locus of control and switching intentions, which were found to have an influence on purchasing behavior.

Accounting standards for goodwill may intensify the agency conflict. Since auditors evaluate intangible asset valuations, this study examines to what extent being an auditor (including Big 4 auditors) and being female as indicators of professional skepticism and conservatism predict accounting professionals' critical views of goodwill accounting under US GAAP.

Statistical analyses of a survey of accounting professionals in the Pacific Northwest region of the United States.

The respondents' views are dispersed from trust in GAAP to views reflecting management opportunism in goodwill accounting. While being an auditor (including Big 4 auditors) does not predict a critical perception, being a female auditor is correlated with critical views to some extent.

The survey was carried out in a limited geographical area and personal contacts were used to maximize the response rate, which may limit generalizability.

Standard setters can use the results to learn how practitioners perceive the current accounting standards for goodwill. The results provide users and preparers knowledge about potential pitfalls of goodwill accounting. Preparers could increase transparency to alleviate user concerns regarding managerial opportunism in goodwill accounting.

This paper extends the IFRS-based literature exploring practitioners' perceptions of accounting standards by focusing on goodwill accounting in the US GAAP environment. This study also contributes to the auditing literature by providing further evidence on how gender moderates an auditor's perception of accounting standards.

The study systematically analyses the path dependency and path-shaping of borrowed education policy, tracing it from the global through the national to individual schools. It also revisits the case schools after five years to map the school level policy paths.

Recently, path-dependency heuristics have drawn attention in predicting educational policy trajectories. However, these studies are primarily theoretical, and those empirical studies do not capture what happens at the school level. This paper fills the research gap by presenting a model that synthesises the research from diverse fields and is informed by findings from a longitudinal case study of educational outsourcing in public schools in Hong Kong and Korea.

The findings highlight path dependency interactions across educational levels diachronically and synchronically, while aptly incorporating the creative ways school leaders exercise their agency therein. The paper concludes with new insights into policy trajectory and education outsourcing.

The study substantiates and extends previously suggested theoretical models on the paths of travelling educational policies and identifies the factors that shape the paths. It also sheds light on how school leaders navigate the structures that constrain their actions or create a new path and pursue their educational goals.

The authors study how enabling perceptions (flexibility, reparability and internal and global transparency) of a budgetary control system are formed, and whether enabling perceptions empower lower-level managers and make them form less negative attitudes about red tape in the organization. This study research is warranted because of the lack of knowledge on how perceptual variation in flexibility, repairability and transparency of a control system within an organization, where managers experiencing the same control system design, can be explained.

Survey data with answers from 211 managers from a large local government organization in Sweden is analyzed with structural equation modeling.

The extent to which the budget system is perceived as having enabling qualities (being flexible, reparable and transparent) is explained by the safeness of the individual manager's psychological climate. This climate is characterized by trust and fairness perceptions in upper management. In turn, enabling perceptions positively affect a sense of psychological empowerment and reduces attitudes toward red tape in the organization.

The authors contribute by identifying an important factor explaining individual-level variability in enabling perceptions of control systems within organizations. Compared to previous research that has taken an interest in the organizational-level climate, the authors theorize about and investigate (parts of) the individual-level psychological climate as an explanation of within-system variability.

The Group of Twenty (G20) has substantial influence in global economic policy but has been peripheral in global education governance. There is intensification of education policy-relevant engagement within the Think 20 (T20), the “ideas bank” and official engagement group of the G20. The authors analyse the evolution of education as a policy domain within the T20, the ideas and discursive framing of education and global education policy “solutions” and assumptions about the G20 in education policy engagement.

The authors view the T20 as an external actor that can mobilise policy-relevant ideas to G20 actors responsible for internal policy selection and translation. The analysis covers the period 2018–2021 when education became an explicit T20 policy area. The authors screened all 461 T20 policy briefs across all domains. Of these, 32 briefs and four final T20 Summit communiqués were reviewed using critical discourse analysis. Data were supplemented via organisational websites and tacit professional knowledge.

Three assumptions on the G20 as an actor prevailed: (1) policymaker, (2) policy shaper and (3) knowledge mobiliser. The framing ideas on education were linked to assumptions on drivers of education system reform as intertwined with, or to enable: (1) economic adaptation, (2) technical adaptation and (3) socio-political adaptation of individuals and societies.

Accelerated education engagement within the T20 and its direct reach to G20 leaders makes it, and the G20, analytically unique and new unexamined actors of potential influence. The authors conclude that the T20 is positioned as a unique actor, both that can mobilise education policy-relevant ideas to G20 leaders, and legitimised as the actor from which G20 leaders and policymakers should adopt ideas.

The purpose of this paper is to explore and establish the contours of trust in learning analytics and to establish steps that institutions might take to address the “trust deficit” in learning analytics.

“Trust” has always been part and parcel of learning analytics research and practice, but concerns around privacy, bias, the increasing reach of learning analytics, the “black box” of artificial intelligence and the commercialization of teaching and learning suggest that we should not take stakeholder trust for granted. While there have been attempts to explore and map students’ and staff perceptions of trust, there is no agreement on the contours of trust. Thirty-one experts in learning analytics research participated in a qualitative Delphi study.

This study achieved agreement on a working definition of trust in learning analytics, and on factors that impact on trusting data, trusting institutional understandings of student success and the design and implementation of learning analytics. In addition, it identifies those factors that might increase levels of trust in learning analytics for students, faculty and broader.

The study is based on expert opinions as such there is a limitation of how much it is of a true consensus.

Trust cannot be assumed is taken for granted. This study is original because it establishes a number of concerns around the trustworthiness of learning analytics in respect of how data and student learning journeys are understood, and how institutions can address the “trust deficit” in learning analytics.

The purpose of this study is to develop a method to assess social performance. Traditionally, environment, social and governance (ESG) rating providers use subjectively weighted arithmetic averages to combine a set of social performance (SP) indicators into one single rating. To overcome this problem, this study investigates the preconditions for a new methodology for rating the SP component of the ESG by applying machine learning (ML) and artificial intelligence (AI) anchored to social controversies.

This study proposes the use of a data-driven rating methodology that derives the relative importance of SP features from their contribution to the prediction of social controversies. The authors use the proposed methodology to solve the weighting problem with overall ESG ratings and further investigate whether prediction is possible.

The authors find that ML models are able to predict controversies with high predictive performance and validity. The findings indicate that the weighting problem with the ESG ratings can be addressed with a data-driven approach. The decisive prerequisite, however, for the proposed rating methodology is that social controversies are predicted by a broad set of SP indicators. The results also suggest that predictively valid ratings can be developed with this ML-based AI method.

This study offers practical solutions to ESG rating problems that have implications for investors, ESG raters and socially responsible investments.

The proposed ML-based AI method can help to achieve better ESG ratings, which will in turn help to improve SP, which has implications for organizations and societies through sustainable development.

To the best of the authors’ knowledge, this research is one of the first studies that offers a unique method to address the ESG rating problem and improve sustainability by focusing on SP indicators.

Family businesses have a dual objective of profit making and providing opportunities for family members. This duality leads to a conflict that may bring poor team work and communication, which is difficult to reconcile. Thus, the study looked into how the performance of family enterprises is affected by family dynamics. Additionally, it examines the relationship's ability to be mediated by effective leadership.

The study adopted a quantitative, explanatory research approach. The study population was family-owned enterprises in KwaZulu-Natal's South Durban Basin, of which 236 were chosen using a snowball and convenience sampling technique. Data was analysed using various descriptive and inferential statistical techniques, namely, multiple regression and the standard deviation.

The finding of the study shows that family dynamics significantly influenced business performance both directly and indirectly through effective leadership. Besides, the family firms with larger employee sizes have better effective leadership that positively contributes to the business performance.

The study recommends that family businesses should train their members to ensure leadership effectiveness.

This study is unique in that it was conducted in Black Townships and focusses mainly on businesses owned by families of Indian descent that need to prepare for leadership/ownership. It also contributes to academic literature on family dynamics and will encourage families to recognise the importance of strong leadership in controlling family dynamics to improve business success.