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With the increased demand for the application of technology in property activities, there is a growing need for property professionals adept in using digital technology. Hence, it is important to assess the competence of academia in equipping property professionals with digital technology skills. This study, therefore, assesses property academics in Australian universities to identify their level of knowledge and use of digital technology applicable to the property industry.

Online questionnaire surveys were administered to 22 out of 110 property academics contacted through the Australia Property Institute (API) database to achieve this aim. The collected data were analysed using mean score ranking and ANOVA.

The study found that apart from databases and analytics platforms such as Corelogic RP data, price finder and industry-based software such as the Microsoft Office suite and ARGUS software, the academics were not knowledgeable in most identified and sampled proptech tools. Similarly, most proptech tools were not used or taught to the students. It was also found that early career academics (below five years in academia) were the most knowledgeable group about the proptech tools.

Relying on the API database to contact property academics potentially excludes the position of property academics who may not be affiliated or have contacts with API, hence, the findings of this study should be generalised with caution.

The study bears huge implications for the property education sector and industry in Australia; a low knowledge and use of nascent tools such as artificial intelligence, machine learning, blockchain, drones, fintech, which have received intense interest, reveals some level of skill gap of students who pass through that system and may need to be upskilled by employers to meet the current day demand.

In response to the clamour for technology-inclined property professionals, this paper presents itself as the first to assess the knowledge levels and application of digital technology by property academics.

As a cornerstone of team performance, learning depends on each member’s mindset. Drawing on implicit theories of intelligence, the purpose of this study is to investigate the relationships among individual members’ mindsets and shared leadership (SL) behaviors in design teams and the mediation role of team growth mindset (TGM) on that relationship.

The authors analyzed survey results based on individuals who participated in an international design competition. To test the hypothesized model, the data was analyzed by using SEM using Mplus 7.

The results indicated that an individual growth mindset (IGM; but not an individual-fixed mindset) has significant and positive direct effects on a team growth mindset and SL behaviors. In addition, a TGM mediates the relationship between an IGM and SL.

The research discusses several theoretical and practical implications for human resource development professionals and scholars to improve understanding of a TGM and its influence on individual mindsets and SL behaviors.

This paper presents an historical reconstruction of the radicalisation of Alan Fox, the industrial sociologist and a detailed analysis of his early historical and sociological writing in the classical pluralist phase.

An intellectual history, including detailed discussion of key Fox texts, supported by interviews with Fox and other Biographical sources.

Fox’s radicalisation was incomplete, as he carried over from his industrial relations (IR) pluralist mentors, Allan Flanders and Hugh Clegg, a suspicion of political Marxism, a sense of historical contingency and an awareness of the fragmented nature of industrial conflict.

Recent academic attention has centred on Fox’s later radical pluralism with its “structural” approach to the employment relationship. This paper revisits his early, neglected classical pluralist writing. It also illuminates his transition from institutional IR to a broader sociology of work, influenced by AH Halsey, John Goldthorpe and others and the complex nature of his radicalisation.

This study examines the relationship between strategic entrepreneurial behaviors (SEBs) and the performance of small and medium-sized enterprises (SMEs) in an emerging market context. The authors expand upon prior work in this area by building and testing a model that assesses the moderating effect of CEOs’ narcissism and Machiavellianism on the relationship between SEBs and SME performance.

To test the authors’ theoretical model, the authors use the results of a larger data collection project in Russia to create a national random sample of 372 Russian SMEs that were approached between August and November 2019.

The authors found support for the positive relationship between SEBs and SME performance. Additionally, the authors found that CEO narcissism and Machiavellianism strengthen the relationship between SEBs and firm performance.

This study is an important step toward enriching the understanding of the role of CEO personality traits in shaping the efficiency of entrepreneurial behavior at the firm level. Extending previous research, the authors show that SEBs have a positive effect on firm performance in an emerging market context. Additionally, the authors contribute insight about how personality characteristics of CEOs, specifically narcissism and Machiavellianism, influence the relationship between entrepreneurial behavior and firm performance. Finally, the authors’ research contributes to the development of strategic leadership theory: the results offer insight to scholars regarding the potentially beneficial attributes of otherwise “dark” leaders.

This study examines the issues affecting learning and development (L&D) interventions to enhance operational efficiency in airport companies.

This study adopted a case study design following a qualitative approach for data collection and analysis procedure. A purposive sample of fifteen executives, including 6 Chief Executive Officers, along with 9 operational managers from the aviation industry in Namibia were suitable participants to gather information about issues affecting L&D for specific interventions to improve operational efficiency in airport companies. The data was collected using face-to-face interviews. The transcripts generated from the recordings were organized using thematic analysis via NVivo version 12.

The results showcased a lack of training needs assessment and process, inadequate specialized training and poor levels of commitment. Hence, specialized L&D interventions will impact commitment and work outcomes, which are essential for operational efficiency in airport companies.

There is a paucity of literature on how to address L&D issues for operational efficiency in the aviation sector.

Drawing on organizational design theory and organizational learning theory, this paper aims to examine component technology (CT) and the interaction between CT and experiential learning (EL) effects on the degree of integration (DI) of cross-border technological acquisitions.

Using a sample of 267 firms consisting of 229 acquirer firms who started cross-border technological acquisitions from developed economies and 38 acquirer firms who initiated cross-border technological acquisitions from emerging economies over the period of 1993–2016, this study adopts a value chain framework to measure the acquirers’ acquisition integration degree for the investigation of the effects of CT and the interaction between CT and EL.

First, this paper finds CT in cross-border technological acquisitions exerting a positive influence on the acquirer firm’s likelihood of the DI implementation, in line with the organizational design theory. Second, in view of organizational learning theory, this study finds EL and the combined effect of CT and EL to have an inverse influence on the DI.

The results imply that the moderating role of EL significantly optimizes decision choices for an acquirer firm for integration implementation strategies in the form of DI, such as full integration (structural integration), partial integration and no integration (structural separation), which appears to be crucial for cross-border technological acquisitions.

This study contributed to international business strategies by shedding light on the importance of the DI for an acquirer firm that undertakes a cross-border technological acquisition with a CT target firm. This study explains why structural integration might be necessary in cross-border technological acquisitions regardless of the costs of disruption it imposes, as well as the contexts in which it becomes less important or unnecessary. The study disclosed that the increase in the likelihood of DI because of CT depends on the EL of the acquisition company in the host country environment and fluctuates with the prior acquisition knowledge and EL of the host country. Combining two cross-border technological acquisition’s literature streams, such as CT and EL, this study enlightens the importance of organizational learning theory and theory of organization design strategic direction making on acquisition integration implementation strategies.

Measuring the normative obligation to obey the police, a key component of police legitimacy, has proven difficult. Pósch et al.’s (2021) proposed scales appear to overcome the problems associated with traditional measures. This study introduces new items for these scales and empirically assesses whether such additions have the desired effects on scale performance.

This study uses data from a national online survey administered in July 2022 (N = 1,494). Measures of internal consistency and factor analysis were used to evaluate the properties of the obligation to obey scales. Linear regression was used to test the hypothesized effects.

The results show that adding the new items to the existing scales increased the level of internal consistency and improved how well the factor model fit the data. In terms of antecedents, procedural justice and bounded authority concerns were correlated with normative and non-normative obligations to obey the police in the expected direction and relative magnitude, findings that held for both the original and expanded scales. Although both normative obligation scales were significantly associated with willingness to cooperate with the police and significantly mediated the effect of procedural justice on cooperation, the relationship for the expanded scale was stronger and the mediation more pronounced.

This study extends previous research working to overcome some of the setbacks associated with measuring a crucial feature of police legitimacy. Effectively navigating this challenge will help advance legitimacy studies in criminal justice settings.

Artificial intelligence (AI) is transforming consumers' experiences and how firms identify, create, nurture and manage interactive marketing relationships. However, most marketers do not have a clear understanding of what AI is and how it may mutually benefit consumers and firms. In this paper, the authors conduct an extensive review of the marketing literature, develop an AI framework for understanding value co-creation in interactive buyer–seller marketing relationships, identify research gaps and offer a future research agenda.

The authors first conduct an extensive literature review in 16 top marketing journals on AI. Based on this review, an AI framework for understanding value co-creation in interactive buyer–seller marketing relationships was conceptualized.

The literature review led to a number of key research findings and summary areas: (1) an historical perspective, (2) definitions and boundaries of AI, (3) AI and interactive marketing, (4) relevant theories in the domain of interactive marketing and (5) synthesizing AI research based on antecedents to AI usage, interactive AI usage contexts and AI-enabled value co-creation outcomes.

This is one of the most extensive reviews of AI literature in marketing, including an evaluation of in excess or 300 conceptual and empirical research. Based on the findings, the authors offer a future research agenda, including a visual titled “What is AI in Interactive Marketing? AI design factors, AI core elements & interactive marketing AI usage contexts.”

This paper investigates the dynamics between state affect and trusting cognitive beliefs on post-adoptive information technology (IT) use behaviors in the form of intention to explore and deep structure usage. That state affect can influence behaviors is recognized in practice. In fact, some studies examine the impact of affective constructs, but the way state affect impacts how individuals use IT remains largely unexplored. The authors theorize that state affect, in the form of positive and negative affect, will influence trusting cognitive beliefs regarding an IT artifact (in terms of perceived helpfulness, capability and reliability) and, more importantly, directly influence intention to explore and deep structure usage.

The authors test the model using a sample of 357 IT users. Survey items were derived from established measures, and the data were analyzed using structural equation modeling.

Results of this study suggest that positive affect and negative affect impact trusting cognitive beliefs. Trusting cognitive beliefs positively impact intention to explore with an IT and deep structure usage of an IT. Even in the presence of trusting beliefs, though, positive affect directly impacts intention to explore. Positive affect and negative affect both also have various indirect, mediated effects on intention to explore and deep structure usage.

In order to maximize value from workplace IT, the results suggest managers foster an authentic, positive work environment in order to harness or redirect employees' emotional energies.