Search results

This viewpoint article is concerned with an attempt to advance organisational plasticity (OP) modelling concepts by using a novel community modelling framework (PhiloLab) from the social simulation community to drive the process of idea generation. In addition, the authors want to feed back their experience with PhiloLab as they believe that this way of idea generation could also be of interest to the wider evidence-based human resource management (EBHRM) community.

The authors used some workshop sessions to brainstorm new conceptual ideas in a structured and efficient way with a multidisciplinary group of 14 (mainly academic) participants using PhiloLab. This is a tool from the social simulation community, which stimulates and formally supports discussions about philosophical questions of future societal models by means of developing conceptual agent-based simulation models. This was followed by an analysis of the qualitative data gathered during the PhiloLab sessions, feeding into the definition of a set of primary axioms of a plastic organisation.

The PhiloLab experiment helped with defining a set of primary axioms of a plastic organisation, which are presented in this viewpoint article. The results indicated that the problem was rather complex, but it also showed good potential for an agent-based simulation model to tackle some of the key issues related to OP. The experiment also showed that PhiloLab was very useful in terms of knowledge and idea gathering.

Through information gathering and open debates on how to create an agent-based simulation model of a plastic organisation, the authors could identify some of the characteristics of OP and start structuring some of the parameters for a computational simulation. With the outcome of the PhiloLab experiment, the authors are paving the way towards future exploratory computational simulation studies of OP.

The crowdfunding market has experienced rapid growth in recent years. However, not all projects are successfully financed because of information asymmetries between the founder and the providers of external finance. This shortfall in funding has made factors that lead to successful fundraising, a great interest to researchers. This study draws on the social capital theory, human capital theory and level of processing (LOP) theory to predict the success of crowdfunding projects.

A feature set is extracted and correlations between project success and features are utilized to order the features. The artificial neural network (ANN) is popularly applied to analyze the dependencies of the input variables to improve the accuracy of prediction. However, the problem of overfitting may exist in such neural networks. This study proposes a neural network method based on ensemble machine learning and dropout methods to generate several neural networks for preventing the problem of overfitting. Four machine learning techniques are applied and compared for prediction performance.

This study shows that the success of crowdfunding projects can be predicted by measuring and analyzing big data of social media activity, human capital of funders and online project presentation. The ensemble neural network method achieves highest accuracy. The investments rose from early projects and another platform by the funder serve as credible indicators for later investors.

The managerial implication of this study is that the project founders and investors can apply the proposed model to predict the success of crowdfunding projects. This study also identifies the most influential features that affect fundraising outcomes. The project funders can use these features to increase the successful opportunities of crowdfunding project.

This study contributes to apply a new machine learning modeling method to extract features from activity data of crowdfunding platforms and predict crowdfunding project success. In addition, it contributes to the research on the deployment of social capital, human capital and online presentation strategies in a crowdfunding context as well as offers practical implications for project funders and investors.

This study sets out to explore how consumers evaluate unbranded and unlabelled food products and to what extent they are able to select the products with the highest potential to meet their expectations regarding eating quality.

The study focused on Portuguese consumers and their purchase of bacalhau, i.e. salted and dried cod, which is sold unpacked, unbranded and unlabelled in supermarkets. The collection of data encompassed observations of shoppers in supermarkets, individual interviews and focus groups with consumers, and a consumer panel that conducted quality assessments and rankings of nine different bacalhaus and subsequent taste assessments of the same products following desalting and cooking.

Results indicate that Portuguese consumers – in spite of substantial experience with buying, preparing and consuming bacalhau – are uncertain in their in‐store quality assessment. Shoppers used multiple criteria to assess the quality of the bacalhau, such as the appearance and dryness of the product. Some rather curious quality criteria that were not related to “objective” product quality were also discerned. Touching the dried and salted cod trying to “feel” the quality was common. Some even broke the fish tail to assess the dryness. Findings from the consumer panel showed large discrepancies between how the same products were assessed before and after desalting and cooking.

The study is limited to one food product and one national market. Marketing implications, such as focus on packaging, quality labelling, and branding are discussed, as well as implications for future research.

The paper shows that although unlabelled and unbranded food products are common, relatively little research addressing how consumers assess such products in a wider sense, including which strategies consumers apply and to what extent they are able to select products that meet or exceed their expectations regarding eating quality, has been conducted. The paper also addresses the role cultural rules and rituals may play in the assessment of traditional food products such as bacalhau.

This study provides a retrospect of Asia Pacific Journal of Marketing and Logistics (APJML) for the 27-year period between 1993 and 2019.

This study uses the Scopus database to identify the most-cited APJML articles and most prolific authors, institutions and countries in APJML between 1993 and 2019. The study uses bibliometric indicators as well as tools such as bibliographic coupling and science mapping, to analyze the publication and citation structure of APJML. The study provides a temporal analysis of APJML publishing across different periods.

APJML's publication has grown at an average rate of 17% per year, while its citations have grown at an impressive rate of 60%. The contributors to the journal come mainly from the Asia Pacific region, which is not surprising given the journal's scope of publication. Bibliographic coupling of articles reveals that the journal has focused mostly on issues related to market orientation, advertising, marketing research, consumer behavior, customer service, marketing in the digital environment and consumer ethnocentrism. Quantitative research in marketing and consumer ethnocentrism is among the emerging themes in the journal and would benefit from more exploration from scholars.

This study uses data from the Scopus database, whose limitations have implications for the findings. For example, data for the journal's first five issues are not available on Scopus and therefore are not included in the analysis.

This study provides the first overview of APJML's publication and citation trends as well as its thematic structure.

This paper aims to explore the effect of interlocking directorates on agency conflicts and corporate performance in the shipping industry.

The authors use social network analysis to discover central nodes in the network of personal and corporate connections in an international sample of 110 listed shipping companies.

Assessing network structure, the authors find that the network of corporate leaders is denser than the network of shipping companies. The network of shipping companies is populated with many isolated nodes; the network of shipping executives and directors is populated with many cohesive groups in which the longest distance between two corporate leaders is two companies. The authors find that interlocking corporate leadership can help resolve agency conflicts in the shipping industry, bearing a negative effect on the magnitude of agency costs. The extent of leadership overlaps is associated with board size, financial leverage and profitability. The relationship between profits and interlocks is bidirectional, implying that interlocking directorates bear a positive effect on asset returns.

The authors map the relational structures in the social networks of companies and company leaders in the shipping industry and discover the cross-sectional determinants of interlocks in the shipping industry. The finding about the effect of interlocks on profitability and agency costs bears policy implications for the design of corporate governance in the shipping industry.