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The purpose of this study was to examine if team composition based on adaption-innovation (A-I) problem-solving styles is related to the teamwork quality and team effectiveness (TE) of student project teams participating in a [state-gifted program (SGP)].

A correlational design was conducted with a sample of 72 (SGP) participants, consisting of 15 project teams (n = 15), which formed three groups: (1) the homogeneous adaptive group, which consists of five homogeneous adaptive teams (n = 5); (2) the homogeneous innovative group, which consists of five homogeneous innovative teams (n = 5), and (3) the heterogeneous group (i.e. a mix of innovative and adaptive individuals), which consists of five heterogeneous teams (n = 5).

A one-way ANOVA and post-hoc test revealed that team composition based on problem-solving styles is related to teamwork quality and TE. Regarding TE, both homogeneous groups (i.e. all adaptive or all innovative individuals) were more effective than the heterogeneous group. However, regarding teamwork quality, only the adaptive group had significantly higher teamwork quality than the heterogeneous group.

We recommend that leadership educators utilize Kirton’s adaption-innovation inventory (KAI) as a tool for building effective student project teams. KAI can be used by leadership educators in two major ways: to assign students to groups (as done in the current study) or for team building, where team members share their KAI scores to better understand their problem-solving preferences.

The findings add to the literature by specifying the type of homogeneous groups (i.e. homogeneous adaptive), which may offer an advantage over heterogeneous groups regarding teamwork quality.

The scaling of social initiatives is of immense importance for public innovation. A key factor in the scaling process is the institutional environment, which plays a key role in supporting and coordinating the scaling process. This environment can be either homogeneous or heterogeneous, i.e. dominated by a few or a variety of public organizations, norms and practices. Both environments have advantages and challenges. However, the academic understanding of the influence of the institutional environment is limited, and a systematic empirical assessment of the relationship between the type of environment and scaling is lacking. The purpose of this paper is to explore the influence of homogeneous and heterogeneous environments on the scaling process of social initiatives.

A comparative qualitative study was conducted in the Dutch social sector, including 48 in-depth interviews with initiators and organizations operating in three different domains – a homogeneous, heterogeneous or mixed environment – in the public sector.

Homogeneous environments are less supportive of scaling social initiatives than heterogeneous environments, as sharing best practices and collaborating with less-familiar organizations is not common. Heterogeneous environments, however, do not provide coordination of the scaling process, with the risk that public funds are used less efficiently and effectively. Institutional environments with a balance of homogeneity and heterogeneity are best suited for scaling social initiatives.

By combining literature from different research areas and conducting extensive empirical research in different domains of the social sector, the authors' study provides a broad and nuanced picture and brings precision to the authors' understanding of the relationships between the institutional environment and scaling in the public sector.

This study aims to explore psychological safety as a potential moderating mechanism for the relation between functional diversity and individual perceptions of learning, and functional diversity and team performance in self-assembled teams.

To test these relationships, the authors conducted a cross-level, time-lagged, quasi-experiment, using a sample of 143 self-assembled teams. In one condition, participants formed into functionally diverse teams, and in another condition, participants formed functionally homogeneous teams.

Results suggest that functional diversity and psychological safety have an interactive effect on both individual learning and self-assembled team performance, albeit in different directions. Specifically, low psychological safety was more deleterious for individuals on functionally diverse teams than functionally homogeneous teams when it came to perceptions of learning, but the opposite was true when it came to team performance.

The results of this study indicate that it is critical to train team members on developing psychological safety, both in traditional and functionally diverse contexts.

The purpose of this study is to determine whether the fine wine market is efficient between homogeneous lots and heterogeneous lots.

Auction price data for homogeneous (or solid) lots of fine wines was analyzed to create price prediction models. Those models were used to predict the expected auction price for the bottles within heterogeneous lots. Lastly, models were created to explain and predict the differences between expected and realized prices for heterogenous wine lots.

The results show that large inefficiencies exist. The more complex and expensive the heterogeneous lot, the greater the discount relative to what would have been realized if the bottles had been sold individually. This discount can exceed 50% of the expected auction price.

Heterogeneous lots may arise as a practical requirement from the auction house. Restaurant buyers probably have little interest in such lots because of the inclusion of wines the restaurant will be unable to sell. Collectors may be uniquely positioned to benefit from this price discount.

These results are unique in the literature, because the price dynamics of heterogeneous (or mixed) lots of fine wines have not previously been studied.

This paper aims to develop a framework for the bioaccounting measurement of environmental assets based on natural wealth sustainability. Specifically, this paper proposes a theoretical structure for qualitative and quantitative organization-level assessments of the existence and circulation of water, air, wildlife, flora, soil and subsoil resources.

This research used an inductive method with a qualitative and quantitative approach. The authors postulate a systemic and comprehensive bioaccounting measurement of environmental assets, including heterogeneous and homogeneous methods and quantitative and qualitative valuations of the resources that comprise environmental assets.

The authors describe a theoretical structure for the bioaccounting measurement of environmental assets based on the sustainability of natural wealth through heterogeneous and homogeneous measurement methods and show how to integrate these assets through an homogeneous method.

The development of this general theoretical structure will require the integration of theoretical, conceptual and technical developments from multiple disciplines. The authors hope that the scientific community will evaluate and study this proposal for faster progress towards its practical implementation in organizations.

The authors structured the bioaccounting measurements, which are presented individually for each class of environmental assets. Each of these assets requires subcategories (accounts, subaccounts and resources) and recognition/measurement units. Environmental value units (EVUs) are used to standardize the plurality of measurement units.

How to embed artificial intelligence (AI) in human resource management (HRM) is one of the core challenges of digital HRM. Despite regulations demanding humans in the loop to ensure human oversight of AI-based decisions, it is still unknown how much decision-makers rely on information provided by AI and how this affects (personnel) selection quality.

This paper presents an experimental study using vignettes of dashboard prototypes to investigate the effect of AI on decision-makers’ overreliance in personnel selection, particularly the impact of decision-makers’ information search behavior on selection quality.

Our study revealed decision-makers’ tendency towards status quo bias when using an AI-based ranking system, meaning that they paid more attention to applicants that were ranked higher than those ranked lower. We identified three information search strategies that have different effects on selection quality: (1) homogeneous search coverage, (2) heterogeneous search coverage, and (3) no information search. The more applicants were searched equally often (i.e. homogeneous) as when certain applicants received more search views than others (i.e. heterogeneous) the higher the search intensity was, resulting in higher selection quality. No information search is characterized by low search intensity and low selection quality. Priming decision-makers towards carrying responsibility for their decisions or explaining potential AI shortcomings had no moderating effect on the relationship between search coverage and selection quality.

Our study highlights the presence of status quo bias in personnel selection given AI-based applicant rankings, emphasizing the danger that decision-makers over-rely on AI-based recommendations.

The purpose of this study is to explain the opinions of the Muslim jurists available in the fiqh books so that they may be compared with the approaches adopted by modern scholars for defining the concept of riba. It is argued that the method of jurists was different from the one adopted by the modern Muslim jurists and Islamic economists. The new method dichotomizes riba into those of the Quran and Sunnah. On the contrary, jurists of four Sunni schools considered the Quran and Sunnah in this regard as a single whole, and they saw Sunnah as the elaboration of riba. By explaining the similarities shared by different fiqh schools, it is explained that there is no need for a definition of riba.

The paper uses the method of content analysis. The authors have consulted the authentic fiqh manuals of the four Sunni fiqh schools to substantiate the objectives.

One of the major findings of this paper is that interest charged in loan transactions, including bank loans, is riba according to the four Sunni fiqh schools. Moreover, the paper also shows that the similarities among the four Sunni fiqh schools are far more significant than the often-highlighted disagreements among them regarding the concept of riba. The methodology adopted by modern Muslim scholars seems to add confusions around the concept of riba.

The paper discusses views of only four Sunni fiqh jurists.

The paper explains the common methodology followed by the jurists for understanding riba, the significant similarities resulting from their common method, the link between the concept of riba and different types of financial transactions within the framework of the jurists and that combining several fiqh schools at a time is a contradiction-ridden methodology.

Retailers are increasingly adding multiple platform apps. For instance, Hilton Hotel is listed on booking.com, Expedia and TripAdvisor. The purpose of this study is to examine whether and how the adoption of a second homogenous mobile platform app by new and existing consumers affects their purchasing behavior in both the original app and the overall platform apps.

With 604,864 unique data from a Chinese fast-food company, which sequentially add three food delivery platforms, this paper explores the influence of a second homogeneous mobile platform app adoption on consumer purchase frequency, order size and spending.

The results of the log-linear regression model show that multiplatform consumers are more profitable than single-platform consumers. For both existing and new consumers, multiplatform adoption would increase purchase frequency, decrease order size and increase total spending with the retailer. However, for existing consumers, multiplatform adopters are more likely to buy less frequently, spend less per order and have lower total spending in the original platform app.

This paper contributes to platform addition and multichannel literature by empirically finding that multiplatform adopters, both new and existing consumers, are more profitable than single-platform consumers. Managerially, the results suggest that companies should not hesitate to add multiple platforms and should encourage consumers to use multiple mobile apps.

First, this study examines the multiplatform addition effect on both new and existing consumers, which has not been discussed yet. Second, this study contributes to multichannel literature by finding that multiplatform consumers are more profitable than single-platform consumers. Third, unlike Rong et al. (2021), this study supports that channel capability theory is still valid in the homogenous mobile-to-mobile channel expansion context.

This study aims to investigate the claim that there is no coherent and homogeneous body of concepts and practices that can be classified as “Islamic accounting”.

The study focuses specifically on Islamic accounting and uses a qualitative historical documentary analysis methodology to study an original manuscript from the 14th century.

The analysis of the manuscript argues that religious accounting can be seen as a value-based system for achieving social good and that in the context of Islamic accounting, it can be conceptualised as a coherent body of ideas and practices.

Firstly, the study conceptualises Islamic accounting as a homogeneous discipline with its own knowledge, concepts and practices. Secondly, it contributes to current accounting literature by examining an ancient manuscript from the 14th century, which serves as a foundation for understanding the Islamic accounting system within the context of accounting, religion and spirituality. The paper further contributes by arguing that this conceptualisation of religious accounting as a value-based approach enables its practitioners to evaluate their own accountabilities in delivering on socioeconomic objectives related to inter-human/environmental, social and financial transactions within the context of religious accounting practices.

The world over is becoming urbanized, and people are migrating to cities in large numbers in search of opportunities. The increased urbanization has posed challenges such as congestion, rising crime, and growing urban poverty. The governments respond by providing amenities such as schools, hospitals, and housing to meet to increase in demand for these facilities. However, there is a need for the provision of facilities that meets the expectations of the people, particularly on the proximity of amenities and bundles of utility-bearing housing characteristics. In an attempt to address the challenge mentioned, the study estimated the hedonic characteristics influencing the willingness to accept and willingness to pay for housing facilities in the Eastern Cape Province, South Africa. Using a multiple linear regression model and artificial neural network, the study found out that properties with a bathroom, garage and large floor size have a higher value compared to properties without these facilities.When making decisions to acquire a property, buyers consider the availability of discounts and the prevailing property price. Overall, willingness to pay and accept decisions are mainly determined by location and the price at which homogeneous neighborhood properties were sold. Therefore, the study recommends that urban town planners and other housing authorities prioritize the construction of properties with larger floor areas, parking bays, and bathrooms using a cost-effective mechanism that makes the properties affordable to residents.