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This paper aims to develop a finite element analysis strategy, which is suitable for the analysis of progressive failure that occurs in pressure-dependent materials in practical engineering problems.

The numerical difficulties stemming from the strain-softening behaviour of the frictional material, which is represented by a non-associated Drucker–Prager material model, is tackled using the Cosserat continuum theory, while the mixed finite element formulation based on Hu–Washizu variational principle is adopted to allow the utilization of low-order finite elements.

The effectiveness and robustness of the low-order finite element are verified, and the simulation for a real-world landslide which occurred at the upstream side of Carsington embankment in Derbyshire reconfirms the advantages of the developed elastoplastic Cosserat continuum scheme in capturing the entire progressive failure process when the strain-softening and the non-associated plastic law are involved.

The permit of using low-order finite elements is of great importance to enhance computational efficiency for analysing large-scale engineering problems. The case study reconfirms the advantages of the developed elastoplastic Cosserat continuum scheme in capturing the entire progressive failure process when the strain-softening and the non-associated plastic law are involved.

Following behavioral finance and monetary wisdom, the authors theorize: Decision-makers (investors) adopt deep-rooted personal values (the love-of-money attitudes/avaricious financial aspirations) as a lens to frame critical concerns (short-term and long-term investment decisions) in the immediate-proximal (current income) and distal-omnibus (future inheritance) contexts to maximize expected utility and ultimate serenity across context, people and time.

The authors collected data from 277 active equity traders (professional money managers and individual investors) in Pakistan’s two most robust investment hubs—Karachi and Lahore. The authors measured their love-of-money attitude (avaricious monetary aspirations), short-term and long-term investment decisions and demographic variables and collected data during Pakistan's bear markets (Pakistan Stock Exchange, PSX-100).

Investors’ love of money relates to short-term and long-term decisions. However, these relationships are significant for money managers but non-significant for individual investors. Further, investors’ current income moderates this relationship for short-term investment decisions but not long-term decisions. The intensity of the aspirations-to-short-term investment relationship is much higher for investors with low-income levels than those with average and high-income levels. Future inheritance moderates the relationships between aspirations and short-term and long-term decisions. Regardless of their love-of-money orientations, investors with future inheritance have higher magnitudes of short-term and long-term investments than those without future inheritance. The intensity of the aspirations-to-investments relationship is more potent for investors without future inheritance than those with inheritance. Investors with low avaricious monetary aspirations and without inheritance expectations show the lowest short-term and long-term investment decisions. Investors' current income and future inheritance moderate the relationships between their love of money attitude and short-term and long-term decisions differently in Pakistan's bear markets.

The authors help investors make financial decisions and help financial institutions, asset management companies, brokerage houses and investment banks identify marketing strategies and investor segmentation and provide individualized services.

Professional money managers have a stronger short-term orientation than individual investors. Lack of wealth (current income and future inheritance) motivates greedy investors to take more risks and become more vulnerable than non-greedy ones—investors’ financial resources and wealth matter. The Matthew Effect in investment decisions exists in Pakistan’s emerging economy.

This study aims to develop a Chinese core self-evaluations scale (CCSES) (Study 1) and examines the relationship between CCSES and self-reported job performance among entrepreneurs in private small and medium enterprises in People's Republic of China (Study 2).

In Study 1, the paper incorporated two indigenous Chinese constructs, team-based self-esteem and personal integrity, into the existing literature of CSE and developed a new CCSES using a sample of 300 Chinese entrepreneurs in Hangzhou, China. In Study 2, the paper validated the CCSES in a separate sample of 306 entrepreneurs and investigated the relationships between CCSES and self-reported job performance.

The paper identified four sub-constructs in the 13-item CCSES: personal self-esteem, team-based self-esteem, personal integrity, and self-competence. Results from exploratory and confirmatory factor analyses showed good psychometric properties and high reliability in Study 1. In Study 2, the paper found a good fit between the measurement model and the data, and a significant relationship between CCSES and the overall measure of job performance and its three components. Males had significantly higher Chinese core self-evaluations (CCSE) scores than females. There were no differences in CCSE scores across age and educational background.

Borrowing the CSE construct in the Western literature, the paper includes two indigenous Chinese constructs, team-based self-esteem and personal integrity, provides a new perspective of the CSE construct for entrepreneurs, and investigates its relationship with job performance in China.

Robots are used in assembly lines because of their higher flexibility and lower costs. The purpose of this paper is to develop mathematical models and simulated annealing algorithms to solve the robotic assembly line balancing (RALB-II) to minimize the cycle time.

Four mixed-integer linear programming models are developed and encoded in CPLEX solver to find optimal solutions for small-sized problem instances. Two simulated annealing algorithms, original simulated annealing algorithm and restarted simulated annealing (RSA) algorithm, are proposed to tackle large-sized problems. The restart mechanism in the RSA methodology replaces the incumbent temperature with a new temperature. In addition, the proposed methods use iterative mechanisms for updating cycle time and a new objective to select the solution with fewer critical workstations.

The comparative study among the tested algorithms and other methods adapted verifies the effectiveness of the proposed methods. The results obtained by these algorithms on the benchmark instances show that 23 new upper bounds out of 32 tested cases are achieved. The RSA algorithm ranks first among the algorithms in the number of updated upper bounds.

Four models are developed for RALBP-II and their performance is evaluated for the first time. An RSA algorithm is developed to solve RALBP-II, where the restart mechanism is developed to replace the incumbent temperature with a new temperature. The proposed methods also use iterative mechanisms and a new objective to select the solution with fewer critical workstations.

The purpose of the study is to propose a new perspective to explain how China's rapid growth in patenting is partially driven by corporate strategic patenting to influence local governments. The authors highlight the role of strategic patenting and local government-business relations in creating the gap between the patent boom and underlying technological progress in China.

The authors investigate the relationship between local government-business relations and corporate strategic patenting behaviors, measured as a higher ratio of patent filings to patent awards, by collecting data from three successive NADS surveys of government-business relations in 292 Chinese municipalities, paired with detailed patenting and subsidy data of 3,756 publicly listed corporations obtained through text mining.

The authors find that, while R&D investment and patent subsidies do drive corporate patenting, firms in jurisdictions with lower-quality government-business relations are more likely to engage in strategic patenting. Moreover, the negative impact of government-business relations on strategic patenting is moderated by political connections, as the strategic patenting of firms without political connections is more sensitive to government-business relations. The authors further show that firms obtain significant benefits from patenting in the form of additional subsidies from local innovation and industrial policies in the years following.

Rolling back patent subsidies will reduce strategic patenting to a limited extent. The local governments in emerging markets need to increase the capacity to implement industrial policy and provide market-based opportunities for firms to access innovation inputs.

The authors provide an updated and fresh perspective to understand the phenomenon of China's patent boom by showing that patenting can be driven by corporate strategies to adapt to local institutions and influence government policy. The authors extend the analysis of strategic patenting to emerging markets.

Using bibliometric techniques, the author analyzes a dataset of 276 articles on cross-border mergers and acquisitions (CBMAs) published in 13 management and international business journals. The author assesses the scientific impact and visualizes the intellectual landscape of research on CBMAs by analyzing publication and citation data and interconnections between publications. First, the author assesses annual publication trends and identifies highly cited articles and productive journals in the dataset that have significantly contributed to our understanding of CBMAs. Second, the author identifies main themes in recent research on CBMAs by focusing on frequently used keywords in publications. Third, the author identifies clusters of related research and explores their interrelationships to outline emerging trends, new perspectives, and directions for future research on CBMAs. Overall, this chapter contributes to the understanding of CBMAs by documenting the progress made to date and providing important insights for future research.

Trust plays a crucial role in overcoming uncertainty and reducing risks. Uncovering the trust mechanism in the sharing economy may enable sharing platforms to design more effective marketing strategies. However, existing studies have inconsistent conclusions on the trust mechanism in the sharing economy. Therefore, this study aims to investigate the antecedents and consequences of different dimensions of trust (trust in platform and trust in peers) in the sharing economy.

First, we conducted a meta-analysis of 57 related articles. We tested 13 antecedents of trust in platform (e.g. economic benefits, enjoyment, and information quality) and eight antecedents of trust in peers (e.g. offline service quality and providers’ reputation), as well as their consequences. Then, we conducted subgroup analyses to test the moderating effects of economic development level (Developed vs Developing), gender (Female-dominant vs Male-dominant), platform type (Accommodation vs Transportation), role type (Obtainers vs Providers), and uncertainty avoidance (Strong vs Weak).

The results confirm that all antecedents and consequences significantly affect trust in platform or peers to varying degrees. Moreover, trust in platform greatly enhances trust in peers. Besides, the results of the moderating effect analyses demonstrate the variability of antecedents and consequences of trust under different subgroups.

This paper provides a clear and holistic view of the trust mechanism in the sharing economy from an object-based trust perspective. The findings may offer insights into trust-building in the sharing economy.

This chapter provides a theoretical evaluation of entrepreneurial orientation (EO) to demonstrate some of its current shortcomings for being a construct to categorize entrepreneurial firms. To do this, we explore all the facets of how a firm can be entrepreneurial and the nuances of how firms can differ in their entrepreneurial approach, which EO currently does not capture. We argue that while EO’s rise in popularity stems from its simplicity, this simplicity has provided it with longevity challenges to keep up with evolving entrepreneurial behaviors within firms. We note these issues in hopes to extend the life of EO, and we provide future recommendations on how to put EO on that path.

In recent years, a great number of top conferences and workshops on artificial intelligence (AI) were held in China, showing Chinese AI plays an important role in the world. Meanwhile, Chinese government announced an ambitious scheme, “New Generation Artificial Intelligence Development Plan,” for the country to become a world leader in AI technologies by 2030. The AI research in China has covered various aspects, ranging from chips to algorithms. This chapter attempts to give an overview of the recent advances of AI research and development in China, as well as some perspectives on the future development of AI in China.

The concept of entrepreneurial orientation (EO) attracts considerable attention in the organizational literature. Focusing on issues related to measurement of EO and using a three-pronged framework to organize the growing diversity of EO measures, the authors conduct a systematic literature review on how EO is captured and assessed in the empirical literature. Specifically, the authors classify 551 empirical works according to the approach to measurement (i.e., managerial perceptions, content analysis, and resource allocations) which allows the authors to document and critically analyze prevalent measurement practices within the literature. Based on the synthesis, the authors identify key measurement-related tensions that may inhibit cumulative knowledge development in the area of EO, such as ad hoc modification of seminal scales and lack of theoretical clarity with respect to measurement. Additionally, the authors find that research into the antecedents of EO as well as causality and temporality of the phenomenon is underdeveloped, which the authors attribute to scarce use of mixed methods. The authors conclude chapter by discussing the challenges involved in measuring EO and offering possible recommendations for future inquiry.