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Participants in leadership development programs take part in multiple developmental experiences that can influence the composition of their social network and enhance social capital. However, further investment in such practices may be limited because little is known about the relationship between leadership development approaches, networking ability, and social capital. This study explores how common developmental approaches may contribute to social capital, taking into consideration the role networking ability plays in this relationship. This descriptive, correlational study included a sample of graduates (N= 231) from 15 statewide agricultural-based leadership development programs. Our findings reveal that: 1) Networking is an antecedent to social capital, 2) skill building and personal growth approaches to leadership development are significant predictors of networking ability, and 3) networking ability is a significant predictor of social capital.

Digital transformation (DT) projects are complex and often unsuccessful. While researchers have suggested many guidelines and best practices on how to successfully roll out DT projects and how they are spread among a large number of scientific papers. The aim of this paper is to synthesize these guidelines into clear overviews.

A systematic literature review was conducted on both Scopus and Web of Science to search for papers suggesting DT guidelines or best practices. In total, 150 papers dealing with DT and guidelines were fully analyzed.

Eight main DT guidelines were found and each one was expanded with several best practices on how to implement these. The results are eight tables giving an overview of the commonly agreed-upon best practices for each DT guideline.

These overviews are useful for both researchers and practitioners, to guide future work and to be inspired respectively. This paper calls for more research on how these guidelines are followed in practice, how these differ per industry and what their impact is on the overall success of DT projects.

The synthesis of DT guidelines organized into an accessible format has not yet been conducted before, and can serve as a seminal pinpoint for future research.

This study aims to explore how a microlending digital platform connects social investors in developed countries and micro-entrepreneurs in Africa. However, additional research is necessary to discuss how online auction models are designed and implemented and how existing theories can explain their use in the so-called developing countries.

The research is based on a single case study: an online auction model for microlending named AfricaMC. Two main methods collected empirical data, namely, online participant observation, i.e. real-time participation in the online auction market and in the forum of discussions, where the authors observed the processes of microlending transactions as registered members; analysis of online documents, by reviewing forum discussions, analyzing reports, blogs, chats and other materials.

The results suggest that using sociological and information systems theoretical lenses in a complementary manner could provide greater value than using economics.

The study makes two main contributions. First, it mobilizes a pluralist theoretical approach based on economic, sociological and information systems perspectives to improve the understanding of microlending digital platforms using online auction models. Second, it uses the understanding produced from data analysis of one particular African case to validate propositions derived from these three theoretical approaches that might be applied to other cases.

In this study the authors aim to outline new ways of information extraction for automated valuation models, which in turn would help to increase transparency in valuation procedures and thus contribute to more reliable statements about the value of real estate.

The authors hypothesize that empirical error in the interpretation and qualitative assessment of visual content can be minimized by collating the assessments of multiple individuals and through use of repeated trials. Motivated by this problem, the authors developed an experimental approach for semi-automatic extraction of qualitative real estate metadata based on Comparative Judgments and Deep Learning. The authors evaluate the feasibility of our approach with the help of Hedonic Models.

The results show that the collated assessments of qualitative features of interior images show a notable effect on the price models and thus over potential for further research within this paradigm.

To the best of the authors’ knowledge, this is the first approach that combines and collates the subjective ratings of visual features and deep learning for real estate use cases.

This research aims to study the economic conditions of fishermen living in the coastal area of Kabupaten Pesisir Selatan.

The method used is a descriptive analysis method supported by a participatory planning method. The importance of primary data is to understand deeply the real problems of fishermen in the field, collected by using a survey method such as field observations, in-depth interviews by gathering fishermen and related stakeholders in the area, undertaking forum group discussion, workshop and seminar. Secondary data are necessary to support the primary data analysis.

The results showed that there is an abundance of marine resources, but the economic condition of fishermen is far from expected. The income from fishing is not enough to feed their family's daily needs due to low catching productivity and raw fish selling price. The regency government and province do not have clear and concrete policies to resolve firmly and thoroughly the economic problems of fishermen living in the coastal areas.

This study succeeds in providing two breakthrough strategic policies to improve the economic conditions of fishermen, i.e. institutional and entrepreneurial innovations.

Both strategic policies have a mutual relationship. Therefore, the implementations have to integrate with one another and be executed simultaneously in a single coastal area management system.

Bupati as a top policymaker in this region must take full responsibility for the successful implementation of these two strategic policies.

Providing new ideas to solve the main problem of fishermen living in the coastal area in Indonesia.

Following the rapid shift to online learning due to COVID-19, this paper aims to compare the relative efficacy of face-to-face and online university teaching methods.

A scoping review was conducted to examine the learning outcomes within and between online and face-to-face (F2F) university teaching programmes.

Although previous research has supported a “no significant difference” position, the review of 91 comparative studies during 2000–2020 identified 37 (41%) which found online teaching was associated with better learning outcomes, 17 (18%) which favoured F2F and 37 (41%) reporting no significant difference. Purpose-developed online content which supports “student-led” enquiry and cognitive challenge were cited as factors supporting better learning outcomes.

This study adopts a pre-defined methodology in reviewing literature which ensures rigour in identifying relevant studies. The large sample of studies (n = 91) supported the comparison of discrete learning modes although high variability in key concepts and outcome variables made it difficult to directly compare some studies. A lack of methodological rigour was observed in some studies.

As a result of COVID-19, online university teaching has become the “new normal” but also re-focussed questions regarding its efficacy. The weight of evidence from this review is that online learning is at least as effective and often better than, F2F modalities in supporting learning outcomes, albeit these differences are often modest. The findings raise questions about the presumed benefits of F2F learning and complicate the case for a return to physical classrooms during the pandemic and beyond.

The purpose of this paper is to investigate the impact of peripheral services offered by distance education (DE) institutes on student involvement in DE and, examine whether this impact is mediated by student experience quality.

Quantitative research approach based on cross-sectional survey design was used where data were collected using a structured questionnaire. Sample consisted of 400 undergraduates of the Open University of Sri Lanka, drawn using simple random sampling technique. Collected data were analyzed using the structural equation model.

Data analysis revealed that there is a significant direct impact of peripheral services offered by DE institutes on student involvement in the Sri Lankan context. Furthermore, it is validated that this impact is mediated by student experience quality.

Focus of the study is only on the impact of contextual elements rather than personal or demographic factors of students which can have an important impact on their experience quality as well as involvement.

Findings are useful in designing and redesigning service offering and policy development by DE institutes to make their services more appealing.

Even though previous studies have identified student dropout and lower academic excellence as issues in DE, how service offering can be used to overcome them via student involvement has not received considerable attention. Hence, the tested conceptual model developed on multiple theories is a novel contribution to the existing knowledge base.