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Blockchain-driven supply chain finance (BCT-SCF) has recently been receiving increased global attention. A number of business programmes have been carried out using this approach, but existing research has rarely focussed on this novel SCF model. This paper aims to fill this gap by proposing a mathematical model to analyse the value of BCT-SCF.

First, this paper considers a multi-period two-echelon supply chain consisting of a capital-constrained supplier and a newsvendor-like retailer. Then, two financing channels are proposed. The supply chain actors can either factor accounts receivable (AR) from a bank or obtain financing through a BCT-SCF platform by which AR can be converted into a bill receivable and used to make payment. Further, to investigate the preferences of all actors between the two financing channels, this paper compares the two channels and examines how the degree of financial constraints and the cost of implementing the BCT-SCF model impact the financing preferences of all actors.

BCT-SCF model can help a supply chain realise its optimisation both in production and financing efficiency, the preference for the BCT-SCF model increases as the initial capital of supplier and the BCT-SCF platform usage fee rate decrease.

This research bridges the gap between theoretical analysis of BCT-SCF and its realistic application. The results demonstrate that with the BCT-SCF model, a win-win situation among supply chain actors is possible, which is helpful for the supply chain to choose a more efficient financing channel.

This research introduces a mathematical model based on the “receivable chain” of CZBank and the model is set in a multi-period supply chain, which is the first time BCT-SCF has been considered as part of a more complex but realistic background setting.

Skills audits represent an important vehicle for analysing and monitoring skills coverage across organisations and nations and identifying skills gaps and mismatches that exist. In so doing, they provide valuable data on the competitive positioning of organisations and nations and help determine priorities for investment. The purpose of this paper is to examine the use and prevalence of skills audits to improve individual, organisational and societal outcomes.

Following the guidance of Torraco (2016), this paper takes the form of an integrative literature review. The authors conducted a series of keyword searches using databases such as Google Scholar, ABI Inform, Science Direct and Emerald. Title word searches used the terms: “skills audit”, “skills analysis”, “skills inventory”, “skills mapping” and the authors reviewed articles that were published between the period: 1990 to 2020.

Skills audits remain a useful tool to assess skill attainment and progression on university and college programmes, giving individuals a better understanding of their particular strengths and allowing them to develop realistic career plans and goals. From an organisational perspective, skill audits add value where they are strategically linked to job design, recruitment and training initiatives. They are also useful in helping organisations identify skill shortages, particularly if they relate skills outages to future growth areas. Finally, skills audits can sustain career counselling, but need to remain flexible in categorising skills in relation to the gig economy and remote working.

The topic of skills audits remains an under-researched topic in the training and human resource development literature. To date, limited studies have been carried out examining their use and effectiveness. This paper sheds light on a topic worthy of exploration in the field.

Inefficiency dilemmas in project governance are caused by various risks arising from the characteristic of construction supply chain projects, such as poor project performance, conflicts between stakeholders and cost overrun. This research aims to establish a fuzzy synthetic evaluation (FSE) model to analyze construction supply chain risk factors. Corresponding risk mitigation strategies are provided to facilitate the improvement performance of ongoing construction supply chain projects.

A literature review is utilized to reveal the deficiencies of construction supply chain risk management. Thus, a total of five hundred (500) questionnaires are distributed to construction professionals, and four hundred and thirty-five (435) questionnaires are recovered to obtain the evaluation data of construction professionals on critical risk factors. Additionally, the FSE is used to analyze and rank the significance of critical risk factors. Finally, this research discusses nine critical risk factors with high weight in the model, and explains the reason for the significance of critical risk factors in the construction supply chain.

The questionnaire results show that the thirty-one (31) identified critical risk factors are verified by related practitioners (government departments, universities and research institutions, owners, construction units, financial institutions, design units, consulting firms). Thirty-one (31) identified critical risk factors are divided into common risks, risks from contractors and risks from owners. The most significant factors in the three categories, respectively, are “political risks,” “owner's unprofessional” approach and “cash flow.” Managing these risks can facilitate the development of the construction supply chain.

This paper expands the research perspective of construction supply chain risk management and complements the risks in the construction supply chain. For practitioners, the research result provides some corresponding measures to deal with these risks. For researchers, the research result provides the direction of construction supply chain risk treatment.

Limited access to capital is a classic issue in and a burden to micro, small and medium enterprises (MSMEs) in Indonesia. The existence of the problem with information asymmetry and agency conflicts that are predominant at the level of small businesses, increasingly hampers the opportunity to obtain funds from various external sources. Especially for businesses that are at the pioneering stage, entrepreneurs are required to think creatively, have the courage to take risks, and be independent in fulfilling resources to realize business opportunities. The availability of funds certainly has an impact on business performance, either directly or indirectly. Based on a literature review, business performance is categorized into financial and non-financial dimensions with various measurement proxies. However, some of the models and measurements proposed are not always suitable in assessing the performance of MSMEs, especially in the startup phase. Therefore, this chapter concurrently describes the funding patterns and the funding alternatives to measure the performance of new businesses based on the existing literature. Theoretically, this research adds a perspective in the field of entrepreneurial finance regarding funding patterns that can be implemented by startup businesses in Indonesia and provides a proposal for measuring the concept of performance that is more adaptive and comprehensive for businesses in the startup stage. The implication of this research for entrepreneurs leads to the need to adjust funding decisions according to the changing stages of the business lifecycle and to expand the funding window to support the sustainability of small businesses.

The purpose of the paper is to create a well-integrated and unified customer experience anytime, anywhere, through any channel is the leading objective of omnichannel retailers. Scholars advocate the crucial role of channel integration quality (CIQ)–specifically its components of channel-service configuration and integrated interactions–in formulating the customer experience, which in turn determines their patronage intention. However, a dearth of research exists on the dynamic nature of this particular mechanism. The potential mediating and moderating effects of customer empowerment and Internet usage have hardly been considered at all in the context of omnichannel retailing. These research gaps will be addressed in this study.

Based on a data set of 312 omnichannel customers, the partial least square–structural equation model (PLS-SEM) was employed to test the hypothesised relationships.

The results reveal the dynamic mechanism in which channel-service configuration and integrated interactions are the key factors that not only directly enable omnichannel retailers to deliver customers with a seamless shopping experience but also empower customers to shape their own consumption experiences. The findings also demonstrate the contingency role of consumers' Internet usage in such a dynamic mechanism. Finally, the notion that a strong customer experience increases their intention for patronage is supported by the empirical evidence.

This study contributes to the existing literature by quantitatively examining the moderated mediating mechanism of forming customer experience and its subsequent patronage behaviour in the context of omnichannel retailers.

The purpose of this study was to gain a holistic view of pro-environmental behavior (PEB) among hospitality and tourism consumers through a systematic review of empirical studies. Based on this comprehensive review, this study demonstrates how the literature has been created and has evolved over time, thereby providing proposals for future research agendas.

The preferred reporting items for systematic reviews and meta-analyses method was used as a rigorous searching method to provide an updated picture of the research on the PEBs of consumers in hospitality and tourism contexts. A total of 234 empirical studies from both hospitality and nonhospitality publications were selected for the review.

The results reveal a growing interest in PEB in the hospitality and tourism context. Focal points, theories and research designs used to explain PEB among hospitality and tourism consumers were identified. In addition, the findings from the cross-tabulation analyses have provided valuable insights for tourism and hospitality research in this area.

Based on the research findings, this study makes significant contributions to the literature by providing theoretical and practical implications with detailed directions for future researchers and practitioners.

This study offers one of the first reviews to comprehensively and systematically analyze the empirical research into PEBs among hospitality and tourism consumers. PEB has received significant attention from researchers, practitioners and those policymakers concerned with the sustainability of environments. The findings of this research provide a comprehensive overview of the literature relating to hospitality and tourism through the identification of gaps that require further investigation. Future suggestions to assist practitioners and policymakers in eliciting PEBs are also discussed.

This research aims to use meta-analytical structural equation modeling to look into how hospitality employees use technology at work. It further investigates if the relationship between the constructs of the technology acceptance model (TAM) is moderated by job level (supervisory versus non-supervisory) and different cultures (eastern versus western).

In total, 140 relationships from 30 empirical studies (N = 6,728) were used in this study’s data analysis in accordance with the preferred reporting items for systematic reviews and meta-analysis.

The findings demonstrated that perceived usefulness had a greater influence on “user attitudes” and “acceptance intention” than perceived ease of use. This study also identified that the effect sizes of relationships among TAM constructs appeared to be greater for supervisory employees or in eastern cultures than for those in non-supervisory roles or western cultures.

The findings provide valuable information for practitioners to increase the adoption of employee technology. Practitioners need to focus on the identification of hospitality employee attitudes, social norms and perceived ease of use. Moreover, hospitality practitioners should be cautious when promoting the adoption of new technologies to employees, as those at different levels may respond differently.

This is the very first empirical investigation to meta-analyze the predictive power of the TAM in the context of hospitality staff technology adoption at the workplace. The findings also demonstrated differences in the predictive power of TAM constructs according to job level and cultural differences.

With the growing concern of various sectors of society regarding environmental issues and the promotion of sustainable development, green technology innovation is generally considered to be conducive to the long-term development of enterprises. However, because of the existence of agency problems, managers may have shortsighted behaviors. Then how will managers' shortsighted behaviors affect enterprises' green technology innovation?

This paper uses machine learning-based text analysis methods to construct a manager myopia index based on the data from A-share listed companies on the Shanghai and Shenzhen Stock Exchanges from 2015 to 2020. We examine the impact of manager myopia on green technology innovation in companies.

Our study finds that manager myopia significantly inhibits green technology innovation in companies. However, when multiple large shareholders coexist and the proportion of institutional investors' holdings is high, it can alleviate the inhibitory effect of manager myopia on green innovation. Heterogeneity tests show that the impact of manager myopia on green technology innovation is relatively significant in non-state-owned and manufacturing companies, as well as in the electricity industry. Robustness tests demonstrate that our conclusions remain valid after using propensity score matching to eliminate endogeneity problems.

From the perspective of corporate governance, this paper incorporates managers' shortsightedness, multiple large shareholders and institutional investors' shareholding ratios into the same logical framework, analyzes their internal mechanisms, helps improve corporate governance, enhances green innovation capabilities and has strong implications for the implementation of national innovation-driven development strategies and the achievement of “carbon peak” and “carbon neutrality” targets.

The purpose of this paper is to propose a pressure-, temperature- and acceleration-sensitive structure-integrated inductor-capacitor (LC) resonant ceramic sensor to fulfill the measurement of multi-parameters, such as the measurement of pressure, temperature and acceleration, simultaneously in automotive, aerospace and aeronautics industries.

The ceramic-based multi-parameter sensor was composed of three LC tanks, which have their resonant frequencies sensitive to pressure, temperature and acceleration separately. Two aspects from the specific sensitive structure design to the multiple signals reading technology are considered in designing the multi-parameter ceramic sensor. Theoretical analysis and ANSYS simulation are used in designing the sensitive structure, and MATLAB simulation and experiment are conducted to verify the feasibility of non-coverage of multi-readout signals.

It is found that if the parameters of sensitive structure and layout of the LC tanks integrated into the sensor are proper, the implementation of a multi-parameter sensor could be feasible.

The ceramic sensor proposed in the paper can measure pressure, temperature and acceleration simultaneously in harsh environments.

The paper creatively proposes a pressure-, temperature- and acceleration-sensitive structure-integrated LC resonant ceramic sensor for harsh environments and verifies the feasibility of the sensor from sensitive structure design to multiple-signal reading.

The current study aims to empirically analyze the influence of different information sources, together with the persuasiveness of recommender systems (RSs) on the consumer’s purchase intention (PI). It also expands the research on RSs from the point of view of consumer behavior and psychology, considering perceived usefulness and relevance. In addition, it analyzes how different types of personalized recommendations, along with non-personalized ones, influence PI.

The proposed model has been validated using partial least squares structural equation modeling (PLS-SEM), based on the data collected from 597 online shoppers.

This study proves that both information search and RSs influence PI, being complementary rather than mutually exclusive. Recommender systems’ findings indicate that the PI is primarily influenced by the perceived relevance of RSs, the information provided by manufacturers and reviews. Moreover, only the influence of the perceived usefulness of personalized recommendations strongly affects PI. Conversely, non-personalized recommendations do not affect PI.

Developers should focus on increasing the perceived usefulness and relevance of RSs. Thus, they could adopt the hybridization of RSs with the aggregation of both personal shopping behavior and social network contacts. It should integrate information signals from multiple sources to include sentiment extracted from reviews or links to the manufacturer’s page. Furthermore, the recommendation of discounted products must be only for products preferred by customers, because only these influence the PI.

This research provides a structural model that examines together, for the first time, the influence on the PI of the main RSs and sources of information.