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Utilizing the framework of person-job fit theory and the Model of Proactive Motivation Process and Antecedents, the primary objective of this study is to scrutinize the correlation between perceived overqualification and job crafting, in turn, holds the potential to stimulate innovative work behavior. Additionally, we assess the moderating role of goal self-concordance within this intricate relationship.

Employing a three-wave time-lagged survey methodology encompassing 200 institutional staffing in China, we methodically substantiate the proposed model. Data were analyzed using structural equation modeling.

Our findings affirm a positive correlation between perceived overqualification and expansion-oriented job crafting, contingent upon the presence of goal self-concordance. Notably, individuals exhibiting a heightened goal self-concordance intensify the relationship between perceived overqualification and expansion-oriented job crafting, thereby fostering an augmented propensity for innovative work behavior.

This study diverges from prevailing negativity surrounding perceived overqualification, emphasizing the positive influence of expansion-oriented job crafting in reshaping the impact of perceived overqualification on innovative work behavior. It represents the initial exploration into the role that goal self-concordance play in influencing overqualified employees, contributing to an enriched understanding of the intricate interplay.

This chapter critically evaluates whether football can attain recognition as a national sport in China. Article No. 11, released by the Chinese government in 2015, aimed to develop a new national strategy centralised on the sport of football to foster consumption and enhance national soft power. Consequently, this also means encouraging Chinese football fans to support the national football team. Comparing the significance of local football clubs and the national football team to Chinese football fans is deemed meaningless and unable to generate useful information to comprehend Chinese people's attitudes towards local and national communities. Through literature comparisons with established Chinese national sports such as Chinese martial arts, badminton and table tennis, the discussion reveals that football currently falls short of meeting the general criteria of invention and popularity to be considered a Chinese national sport. In the specific Chinese context, it also proves that football fails to meet the criterion of politics, hindering its identification as a national sport. Consequently, the chapter rebuts the assumption and advocates for the validity of comparing how fans assess their fandom for local and national football teams.

Improving valuation accuracy, especially for sale and acquisition purposes, remains one of the key targets of the global real estate research agenda. Among other recommendations, it has been argued that the use of technology-based advanced valuation methods can help to narrow the gap between asset valuations and actual sale prices. The purpose of this paper is to investigate the property valuation methods being adopted by Australian valuers and the factors influencing their level of awareness and adoption of the methods.

An online questionnaire survey was conducted to elicit information from valuers practising in Australia. They were asked to indicate their level of awareness and adoption of the different property valuation methods. Their response was analysed using frequency distribution, χ² test and mean score ranking.

The results show that the traditional methods of valuation, namely, comparative, investment and residual, are the most adopted methods by the Australian valuers, while advanced valuation methods are seldom applied in practice. The results confirm that professional bodies, sector of practice and educational institutions are the three most important drivers of awareness and adoption of the advanced valuation methods.

There is a need for all the property valuation stakeholders to synergise and transform the property valuation practice in a bid to promote the awareness and adoption of advanced valuation methods, (e.g. hedonic pricing model, artificial neural network, expert system, fuzzy logic system, etc.) among valuers. These are all technology-based methods to improve the efficiency in the prediction process, and the valuer still needs to input reliable transaction data into the systems.

This study provides a fresh and most recent insight into the current property valuation methods adopted in practice by valuers practising in Australia. It identifies that the advanced valuation methods could supplement the traditional valuation methods to achieve good practice standard for improving the professional valuation practice in Australia so that the valuation profession can meet the industry’s expectations.

This study aims to determine the impact of corporate digital transformation on the audit opinions of auditors in A-share nonfinancial listed companies in China. It also examines how corporate internal control and corporate social responsibility (CSR) disclosure levels moderate this effect. This study fills a gap in the literature by investigating the impact of digital transformation on business performance, especially in the Chinese context, where digital transformation is rapidly progressing. This study also offers practical guidance for practitioners on whether and how to undergo a digital transformation and enhance their internal governance and social responsibility practices.

This study uses a sample of 2,637 Chinese A-share nonfinancial listed companies from 2009–2022, after excluding firms with ST, ST* or PT status; negative revenue; and missing data for three or more consecutive years. Digital transformation index data is collected from firms’ annual reports, and the other microlevel data from the Wind and CSMAR databases. The authors winsorize the data at 1% for outliers, resulting in 17,305 firm-year observations. This study uses fixed-effects logistic regression with clustered robust standard errors to analyze the binary dependent variable. This study also performs various robustness checks, such as probit model, multilevel fixed effects model and IV 2SLS estimations, to confirm the validity of the results.

This study reveals that digital transformation leads to standard unqualified audit opinions, meaning that companies that invest more in digital technologies and capabilities has more tendency to receive standard unqualified audit opinions, which signify the reliability and credibility of their financial reporting. This study also finds that corporate internal control and CSR disclosure levels positively moderate the effect of digital transformation on audit opinions. This study further conducts heterogeneity analysis and shows that the positive effect is originated by the state-owned enterprises, firms audited by non-Big4 auditing firms, firms with high internal control levels and firms with low CSR disclosure levels. The results are robust to different econometric methods.

This study contributes to the literature by providing empirical evidence on how digital transformation influences audit quality and credibility and how internal governance and social responsibility practices strengthen this influence. This study also has practical implications for practitioners by providing advice on whether and how to pursue a digital transformation and improve their internal governance and social responsibility practices. This study demonstrates its originality by reviewing the existing literature from three theoretical perspectives: stakeholder, signaling and reputation, and identifying the research gap that the study addresses. This study also compares its findings with previous studies and discusses the implications and limitations of its research. This study also proposes directions for future research based on its findings.

These are the proceedings of a symposium held at Stamford University and include a complete section on aircraft crashworthiness with a survey of rotary wing aircraft crashworthiness by G. T. Singley. In this he reviews and analyses the findings of the 11 year crash survival research and development programme conducted by the Eustis Directorate and covers accident investigation, crash testing of full‐scale, fully instrumented aircraft, crash injury and crashworthiness evaluation of aircraft, and aircraft mockups; and selected component and subassembly testing. An assessment of energy absorbing devices for prospective use in aircraft impact situations is made by A. A. Ezra and R. J. Fay. The subject is defined as the specific energy absorption capacity per unit weight of device or system, the efficiency of the stroke, the stroke to length ratio, the reliability, the repeatability, the ability to sustain rebound loads and the cost. Human tolerance limitations related to aircraft crashworthiness by A. I. King outlines the problems encountered in the scaling of animal data to the human level and in the correlation of single‐directional tolerance data to actual multi‐directional impacts. Jack Collins and James W. Turnbow consider the response of a scat passenger system to impulsive loading in which they present maximum system forces, displacements, velocities and accelerations as functions of velocity change, aircraft deceleration, crash pulse shape, passenger weight and scat belt slack. Also of especial interest is “Flutter prevention in design of SST” by M. J. Turner and J. B. Bartley which they discuss in relation to configuration constraints resulting from mission performance requirements. This is included in a section on structural systems and other sections in the book concern structural elements, materials and solids.

Information and communication technologies brought a new paradigm that allows policymakers to ground their actions on real-time events. Smart cities were initially conceived as a technological vision separate from urban planning. As a result, projects were rarely connected between departments, objectives were not aligned with strategic goals and there was a lack of citizen participation. This study aims to propose a framework to guide and support the design and implementation of a smart city.

Interviews with eight policymakers and one secretary of state are conducted to explore current decision-making processes, specifically, to understand if and how smart city strategies are designed and who their main contributors are. Based on these findings, an inductive thematic analysis of existing literature studies to inspire the steps of the proposed framework is performed. Finally, these steps are discussed in a focus group with nine smart city experts to characterize the guidelines comprehensively.

Policymakers confirmed the lack of a standard method and approach to orient their smart city strategies. Results describe a flexible, participatory framework that envisions 12 steps divided into 4 phases with dedicated guidelines.

This paper integrates the plan-do-check-act cycle approach into the thinking for urban planning design. In addition, it raises the need to reflect on the definition of a country’s strategic plan and the alignment and execution of cities’ roadmaps.

This study aims to examine the impact of signaling through social media (SM) on funding achieved by start-ups.

This study follows a causal research design and is based on unique data set compiled from Crunchbase-Pro and Twitter. The sample size is 1,672 Indian start-ups. Heckman’s model and ordinary least squares regression is used to test the hypothesis.

Devising a thoughtful SM strategy, should be an integral part of the overall strategy of the start-ups looking out for funds. LinkedIn presence is in itself a positive signal. Active usage of Twitter and feedback from other Twitter users has a positive impact on funds raised by the start-up. Posting retweets and repetitive usage of URLs and media is not a predictor of funds raised by the start-up.

An early-stage strategy on SM adoption, especially Twitter can play an important role in attracting interest and attention of stakeholders. To capitalize SM, entrepreneurs should maintain an active SM account of the start-up.

India has emerged as one of the start-up hubs of the world. However, there is a dearth of literature on SM usage by start-ups in India. To the best of the authors’ knowledge, this study is first of its kind and establishes the results empirically based on more than 100k tweets for a large pool of Indian start-ups.

It becomes a strategic option for enterprises to upgrade and improve supply chain efficiency (SCE) by promoting the digital transformation (DT). This study formulated a parallel mediation model to analyze the relationships among DT, supply chain transparency (SCT), supply chain agility (SCA) and SCE to reveal how DT affects SCE through the mediation of SCT and SCA.

Three paradigms, i.e. resource-based view (RBV), dynamic capability view (DCV) and structure-conduct-performance (SCP) were employed to address the parallel mediation effects. A total of 392 questionnaires (samples) from the port-hinterland supply chain in the DT pilot project of New Land-Sea Corridor in western China were collected, which was then applied to formulate a structural equation model (SEM) to verify the proposed hypotheses.

The results confirmed the existences of parallel mediating effects of SCT and SCA between DT and SCE. On one hand, the direct effect of DT on SCE is not significant when SCT and SCE plays jointly impacts on DT and SCE. On the other hand, SCT and SCA play a positive parallel full mediating effect of DT on SCE.

This study contributed to the literature on changing activities of SCE in DT processes. Specifically, it highlighted how DT leads to SCE via SCT and SCA activities. In addition, this study specified the conditions that the insignificant direct effect of DT has reflects on SCE, it is the time when SCT and SCE are jointly acting on DT and SCE.

By integrating insights from the RBV, DCV and SCP paradigms, this study clarified the mechanisms of DT on SCE, and provided insight on the role of SCT and SCA in the relationship between DT and SCE. The novelty of this study and the results extend the existing literature and provide implications for future research.

Academics and practitioners have long acknowledged the potential of multiagent systems (MAS) to automate and autonomize decision-making in logistics and supply chain networks. Despite the manifold promises of MAS, industry adoption is lagging behind, and the exact benefits of these systems remain unclear. This study aims to fill this knowledge gap by analyzing 11 specific MAS use cases, highlighting their benefits, clarifying how they can help enhance logistics network resilience and identifying existing barriers.

A three-stage Delphi study was conducted with 18 industry experts. In the first round, these experts identified 11 use cases of MAS and their potential benefits, as well as any barriers that could hinder their adoption. In the second round, they assessed the identified use cases with regard to their potential to enhance logistics network resilience and improve organizational productivity. Furthermore, they estimated the complexity of MAS implementation. In the third round, the experts reassessed their evaluations in light of the evaluations of the other study participants.

This study proposes 11 specific MAS use cases and illustrates their potential for increasing logistics network resilience and enhancing organizational performance due to autonomous decision-making in informational processes. Furthermore, this study discusses important barriers for MAS, such as lack of standardization, insufficient technological maturity, soaring costs, complex change management and a lack of existing use cases. From a theoretical perspective, it is shown how MAS can contribute to resilience research in supply chain management.

The identification and assessment of diverse MAS use cases informs managers about the potential of this technology and the barriers that need to be overcome.

This study fills a gap in the literature by providing a thorough and up-to-date assessment of the potential of MAS for logistics and supply chain management. To the best of the authors’ knowledge, this is the first study to investigate the relevance of MAS for logistics network resilience using the Delphi method.

This study aims to solve the realistic dilemma between the importance of entrepreneurship and the high rate of entrepreneurial failure, and to point out the direction of subsequent research.

The paper takes the form of a literature review.

Entrepreneurial activities involve multiple dimensions. Entrepreneurs or entrepreneurial teams will be affected by multiple factors when starting a business, and sufficient attention should be paid to both the factors within the group and the factors outside the group such as institutional quality and market competition. High entrepreneurial failure rate is an essential characteristic of entrepreneurial activities, while solving this problem requires entrepreneurs to maintain passion, clarify their own motivation, improve their learning abilities and adopt appropriate entrepreneurial strategies to improve entrepreneurial performance. Meanwhile, it also urgent to build entrepreneurial teams with common goals, heterogeneous knowledge structure, outstanding learning ability, solid mutual trust, strong social influence and social capital. Successful entrepreneurship should adhere to the perspective of openness and cooperation. It should not only actively strengthen international cooperation but also fully adapt to the country’s system and culture. Sustainable growth of entrepreneurial enterprises requires not only stable commercial revenue but also responsibility to society, which in turn leads to a good reputation and high social recognition.

The authors hope this review can provide some insightful viewpoints for deepening the theoretical system of entrepreneurship, improving the success rate of entrepreneurship and promoting the sustainable growth of enterprises.

Further research can be carried out on the promotion of business growth by entrepreneurship at the micro level in the following aspects: analyze functional mechanism between innovation and entrepreneurship; entrepreneurship research by integrating multiple institutional contexts and cultural traditions; consider the changes in emerging technologies on entrepreneurial activities; diversified mechanism between entrepreneurship education and business growth.