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VINE is produced at least four times a year with the object of providing up‐to‐date news of work being done in the automation of library housekeeping processes, principally in the UK. It is edited and substantially written by Tony McSean, Information Officer for Library Automation based in Southampton University Library and supported by a grant from the British Library Research and Development Department. Copyright for VINE articles rests with the British Library Board, but opinions expressed in VINE do not necessarily reflect the views and policies of the British Library. The subscription to VINE is £10 per year and the subscription period runs from January to December.

As high density interconnect (HDI) technologies become accepted in the printed circuit board (PCB) industry, build‐up multilayer (BUM) technologies utilizing laser ablated microvias have grown in popularity. This paper will look at the thermal reliability of the plated blind microvias and through vias using standard thermal shock procedures and interconnect stress testing (IST) methodology. Laser ablated microvias manufactured utilizing unreinforced materials and standard FR‐4 materials will be evaluated, along with colloidal graphite direct metallization and two electroless copper processes. The thermal reliability of these different materials and processes will be determined. This paper is intended to increase BUM usage by increasing the fabricator’s understanding of the processes needed to build metallized microvias and address questions on interconnect reliability by thermal testing.

As the Chinese economy has grown rapidly and as its container throughputs has demonstrated a stark increase in recent decades, companies worldwide have developed stronger financial connections with supply chain entities in China, a huge “Production Factory” in the world. This global economic trend arouses significant attention to distinct preference of individual entities in supply chain. The primary goal of the study is to establish statistical understanding on factors of logistics service preferences of each supply chain of each supply chain entity in China, especially Shandong Province. Ultimately, the study aims i) to establish the solid framework for proper evaluation of logistics services in supply chains, ii) to enhance the preferences of logistics services as a differentiating feature on behalf of entities. The study utilizes a holistic approach in analyzing logistics service attributes which affect overall logistics entities in an effort to overcome the limitations of previous studies which failed to provide integrating viewpoint of supply chain entities. In this study, AHP (Analytic Hierarchy Process) method is used as an analysis tool which allows an in-depth examination of the differences between factors and evaluations of customers regarding the logistics service attributes. The results clearly show distinctive service preferences for each four supply chain entities in Shandong Province of China such as 3PLs (forwarder, carrier, and warehouse), Customs (airport, seaport, and bonded area), Market channels (wholesaler, retailer, and e-retailer), and Manufacturers regarding the logistics service attributes.

This paper studies the impact of bank monitoring on the maturity structure of corporate debt issues using Korean firms listed on Korea Exchange from 2005 to 2011. We show that a higher proportion of bank debt in the small and medium enterprises results in corporate debt of longer maturity. The close relationship between banks and SMEs creates information and alleviates information asymmetry problem of borrowing firms. However, banks less perform monitoring and screening as information creator in the relationship with big firms. Because big firms have information asymmetry less than SMEs, and they suffer less problems from information asymmetry when contracting debt. The Probit regression shows that the Bank-Firm relationship increases possibility of issuing corporate debt of longer maturity in SMEs, and it supports the results of regressions above.

The COVID-19 outbreak has disrupted the habits of customers as well as their shopping behavior. This study aims to critically examine the associated benefits and challenges of online shopping from the perspective of customers in the COVID-19 pandemic.

A systematic review of the relevant literature published between 2020 and 2022 was conducted via performing comprehensive search query in leading scholarly databases “Scopus and Web of Science” with the restriction of their predefined subject category of “Business.” Overall, 30 research studies were selected for the review and a significant number of studies were published in 2021 (n = 15).

The research findings revealed that customers are motivated to shop online because of perceived benefits such as time-saving, convenience, 24/7 accessibility, interactive services without physical boundaries, trust, website attractiveness and cost-saving. However, challenging factors such as financial scams, privacy concerns, poor quality of products and services, fake promotions and reduced social interaction have hindered the growth of online shopping. The recommendations regarding designing marketing strategies, secured transaction, multiple payment options, trust building, protection of privacy, promotion via social media, effective mechanism to secure and timely delivery of product are helpful to improve the service quality of online shopping.

The outcomes of this research are valuable to online retailers and policymakers, as it highlights how the benefits can enhance customers’ shopping intentions and minimize the impact of associated challenges. This study also recommends the redesigning of user-friendly interfaces of online shopping websites and ensures their privacy, security and performance on a regular basis.

Previous scholars have assumed that multinational enterprises (MNEs) can reduce the liability of foreignness and increase profitability by investing in corporate social responsibility (CSR). However, empirical validation of this assumption has rarely been attempted. This study aims to provide empirical evidence that the adoption of multi-stakeholder initiatives, which are globally recognized as signals of CSR, helps MNEs increase profits from internationalization.

Fixed effect models, which address model misspecification problems, and instrumental variable estimation, which controls for the endogeneity in firms’ choice of internationalization, offer empirical evidence supporting the moderating effects of global multi-stakeholder initiatives on the relationship between internationalization and firm performance.

This study examines the moderating role of multi-stakeholder initiatives in the relationship between internationalization and firm performance, drawing on signaling and stakeholder theories. The results suggest that the signaling effect of multi-stakeholder initiatives can help MNEs overcome the liability of foreignness and, therefore, profit from overseas markets.

Although the internationalization–firm performance relationship has been a subject of debate in the field of international business, the role of firms’ stakeholder engagement in this relationship has been largely overlooked in previous studies. In this study, the authors explore the impact of multi-stakeholder initiatives on the internationalization–firm performance relationship. Our primary contention is that multi-stakeholder initiatives have moderating effects on this relationship by reducing the liability of foreignness experienced by MNEs in host countries. Furthermore, the findings suggest that active engagement in multi-stakeholder initiatives significantly contributes to the financial success of MNEs as they internationalize.

The Indonesian government's Village-Owned Enterprises (BUMDes) initiative optimizes Village Resources (SDD)—human and natural—to improve rural communities' welfare. Villagers must participate in many ways. Due to its natural potential, industry, waste management and building management business units, BUMDes Waskito Wijaya in Waru village, Baki sub-district, Sukoharjo Regency, Central Java has the potential to grow. Strengthening social capital helps BUMDes management become sustainable.

The focus of this research is to find out what social capital characteristics that can improve the development of BUMDes Waskito Wijaya. Thus, this study uses a SWOT analysis to establish BUMDes by promoting village influencers, strong institutions, and internal and external social networks. Thus, strong bonding, linking and bridging will improve BUMDes' involvement in the village. This research describes the organization's internal and external situations and formulates the BUMDes development strategy empirically.

This study revealed that norms, trust, social networks and infrastructure positively impact BUMDes development. However, the social capital created is still in the bonding stage. While the linking and bridging stages are not yet sufficient to support a productive and prosperous BUMDes.

Thus, the developed strategy encourages the strong leadership spirit of the village influencers, creates aspirational and supportive institutions, and strengthens social networks both horizontally and vertically. Consequently, the linking and bridging that can actively engage in partnerships and build public trust will successfully be achieved. The condition will develop the capacity of BUMDes in providing facilities for the community.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/IJSE-10-2022-0700

The purpose of this paper is to propose novel attitudinal prioritization and correlated aggregating methods for multiple attribute group decision making (MAGDM) with triangular intuitionistic fuzzy Choquet integral.

Based on the continuous ordered weighted average (COWA) operator, the triangular fuzzy COWA (TF-COWA) operator is defined, and then a novel attitudinal expected score function for triangular intuitionistic fuzzy numbers (TIFNs) is investigated. The novelty of this function is that it allows the prioritization of TIFNs by taking account of the expert’s attitudinal character. When the ranking order of TIFNs is determined, the triangular intuitionistic fuzzy correlated geometric (TIFCG) operator and the induced TIFCG (I-TIFCG) operator are developed.

Their use is twofold: first, the TIFCG operator is used to aggregate the correlative attribute value; and second, the I-TIFCG operator is designed to aggregate the preferences of experts with some degree of inter-dependent. Then, a TIFCG and I-TIFCG operators-based approach is presented for correlative MAGDM problems. Finally, the propose method is applied to select investment projects.

Based on the TIFCG and I-TIFCG operators, this paper proposes a novel correlated aggregating methods for MAGDM with triangular intuitionistic fuzzy Choquet integral. This method helps to solve the correlated attribute (criteria) relationship. Furthermore, by the attitudinal expected score functions of TIFNs, the propose method can reflect decision maker’s risk attitude in the final decision result.