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A vast amount of complex data is being generated in the business environment, which enables support for decision-making through information processing and insight generation. The purpose of this study is to propose a process model for data-driven decision-making which provides an overarching methodology covering key stages of the business analytics life cycle. The model is then applied in two small enterprises using real customer/donor data to assist the strategic management of sales and fundraising.

Data science is a multi-disciplinary subject that aims to discover knowledge and insight from data while providing a bridge to data-driven decision-making across businesses. This paper starts with a review of established frameworks for data science and analytics before linking with process modelling and data-driven decision-making. A consolidated methodology is then described covering the key stages of exploring data, discovering insights and making decisions.

Representative case studies from a small manufacturing organisation and an independent hospice charity have been used to illustrate the application of the process model. Visual analytics have informed customer sales strategy and donor fundraising strategy through recommendations to the respective senior management teams.

The scope of this research has focused on customer analytics in small to medium-sized enterprise through two case studies. While the aims of these organisations are rather specific, they share a commonality of purpose for their strategic development, which is addressed by this paper.

Data science is shown to be applicable in the business environment through the proposed process model, synthesising micro- and macro-solution methodologies and allowing organisations to follow a structured procedure. Two real-world case studies have been used to highlight the value of the data-driven model in management decision-making.

This paper investigates whether sustainability performance (SP) protects financial performance (FP) for firms in both developed and emerging economies during the COVID-19-induced economic downturn.

Using a recent sample of firms in 34 countries between 2003 and 2021, the authors employ ordinary least squares regressions, moderations and the Heckman two-step method to test the hypotheses.

Firms with strong SP have higher FP in developed and emerging economies in the upcoming year. During the COVID-19 crisis in 2020–2021, the impact of sustainability on FP is pronounced in developed but not in emerging economies. Furthermore, cross-listings expose firms in emerging economies to high-standard institutional mechanisms in developed economies. Thus, sustainable firms in emerging economies cross-listed on European stock exchanges are more profitable.

For regulators and standard setters, the global-level comparative analysis helps them find solutions that may assist firms in improving SP globally (e.g. mandatory reporting) and enduring crises resiliently. For institutional investors, the study reveals the relatively different impact of sustainability risk for firms in developed and emerging economies. For practitioners and private sector firms, this study contributes to the dialogue on what makes firms more resilient in COVID-19. Although COVID-19 might be temporary, the lessons learned could protect firms from future crises.

The authors contribute to the contingency perspective between sustainability and financial performance by providing recent empirical evidence in a global setting during the COVID-19 pandemic. The authors demonstrate how different external institutional mechanisms (rule-based governance and relation-based governance) and cross-listing affect the SP-FP relationship during a crisis. The authors extend the knowledge in crisis management literature with a comparative study and fill the research gap on how SP affects FP for firms in emerging economies compared to developed economies.

The purpose of this paper is to critically evaluate whether a Lean Six Sigma (LSS) leadership model could be effectively utilized to resolve efficiency and effective issues like rising costs, quality of education, graduation and retention rates encountered in higher education institutions (HEIs) in the modern era.

The authors systematically reviewed the literature on key concepts of LSS and leadership in HEIs in to develop a theoretical model using an inductive theory-building approach in accordance with the exploratory nature of the study.

The results of the study proposed a conceptual LSS leadership framework, which provides a basis for testing of LSS leadership representations in HEIs. The results suggest that LSS leadership has advantages for HEI to overcome currents issues and challenges.

This research is a theoretical study based on the existing literature that identified characteristics that may be adopted in higher education. The proposed LSS leadership framework is based upon leadership, statistical thinking, continuous change and improvement. This model is based upon service and the concepts of adaptive, rather than technical work, of leaders in higher education.

The proposed LSS leadership framework brings new aspects and perspectives of leadership in HEIs. LSS leadership model has its practical meaning in providing a fundamental base for HEIs to overcome challenges, fulfill missions, and sustain improvements.

HEIs are a foundation for principles of democracy, equality and diversity. HEIs have been a path for citizens but HEIs are facing challenges that are reducing the ability of individuals to improve themselves. Leadership of HEI needs to incorporate new principles to adapt to a changing society.

LSS project leaders have achieved improved bottom line results and customer satisfaction in a wide range of industries, but LSS application in the HEIs remains to be explored. This paper proposes an effective LSS leadership model, which can help improve the quality of education, reduce non-value added costs and enhance operational efficiency of HEIs.

The purpose of this paper is to investigate the crossover effects of one partner’s work-family conflict (WFC) on the other partner’s family satisfaction, physical well-being, and mental well-being. The study tests the moderating effect of the opposite partner’s family identity salience within the crossover process in a Chinese context.

A self-administered questionnaire was used to collect matched data from 212 Chinese dual-earner couples. Hierarchical multiple regression analysis was employed to test the research hypotheses.

The results showed that there were significantly negative crossover effects of husbands’ WFC on their wives’ family satisfaction, physical well-being, and mental well-being, and vice versa. The authors found that the wives’ family identity salience mitigated the crossover effects of the husbands’ WFC, but the husbands’ family identity did not moderate the crossover effect of the wives’ WFC.

This is the first study to investigate the crossover effects of WFC among dual-earner couples in China. Further, the study integrated family identity salience into the WFC crossover process between couples from the receiver’s view and provided evidence that partners differed in the ways they dealt with each other’s stress. This research advances scholarly discussions of the psychological crossover process and fills a key gap of considering complex role variables as moderators within this crossover process.

The operation safety of the high-speed railway has been widely concerned. Due to the joint influence of the environment, equipment, personnel and other factors, accidents are inevitable in the operation process. However, few studies focused on identifying contributing factors affecting the severity of high-speed railway accidents because of the difficulty in obtaining field data. This study aims to investigate the impact factors affecting the severity of the general high-speed railway.

A total of 14 potential factors were examined from 475 data. The severity level is categorized into four levels by delay time and the number of subsequent trains that are affected by the accident. The partial proportional odds model was constructed to relax the constraint of the parallel line assumption.

The results show that 10 factors are found to significantly affect accident severity. Moreover, the factors including automation train protection (ATP) system fault, platform screen door and train door fault, traction converter fault and railway clearance intrusion by objects have an effect on reducing the severity level. On the contrary, the accidents caused by objects hanging on the catenary, pantograph fault, passenger misconducting or sudden illness, personnel intrusion of railway clearance, driving on heavy rain or snow and train collision against objects tend to be more severe.

The research results are very useful for mitigating the consequences of high-speed rail accidents.

Previous studies primarily focus on how to achieve better performance in the international markets, but few centers on whether internationalization is a promising strategy for new ventures’ growth and development. Based on two pioneering frameworks Conservative, Predictable, and Pacemaker (CPP) model and the 7-P model, this paper fills this gap by analyzing how exporting exert heterogeneous effects on two types of growth, sales growth and employment growth. Accordingly, this paper aims to favor market-oriented new ventures to make a strategy on expanding international markets.

This study is based on firm-level data from the Chinese Industrial Enterprises Database. The year 2005 was used as the shock year. By conducting the propensity score matching method, 793 couples of matched new ventures were collected with sales growth and 686 couples with employment growth. The difference-in-differences method was applied to analyze the various influences that exporting has on new ventures’ sales growth and employment growth.

The main finding of this paper is that new ventures that exported can achieve better sales growth than their counterparts that only operated domestically, whereas new ventures that remain in the domestic market have no difference in employment growth from those that exported.

This study shows that exporting is especially beneficial for market-seeking new ventures. Because the study is based on Chinese data, scholars of international business can conduct further research on other countries with different economic structures.

Theoretically, this paper contributes to both international business theory and entrepreneurship theory by combining the CPP model and the 7-P model. Practically, this paper shows that exports mainly benefit the sales growth of new ventures. This suggests that business practitioners should consider their growth goals before they choose to enter the global market.

The purpose of this paper is to provide a historical review of China’s anti-corruption efforts, from the ancient period of Chinese slavery societies to the late 1970s before China launched its profound economic reform, under the current status of the harsh crusade against corruption that the Chinese new leadership initiated.

This paper is mainly based on a great deal of historical literature and empirical findings, with relevant comparative analysis on policies and regulations between various periods of China.

The phenomenon of corruption has existed in Chinese history for thousands of years, throughout Chinese slavery societies, feudal societies, republic period and the People’s Republic of China (PRC). Anti-corruption laws formed an important part of ancient Chinese legal system, and each dynasty has made continuous and commendable progress on fighting such misconduct. Innumerable initiatives have also been taken by the ruling party Chinese Communist Party (CCP) since the founding of the PRC. The PRC government created various specially designed government organizations and a series of updated regulations for preventing economic crimes. They have realized that periodic movements against corruption would no longer be helpful, and the paramount issue nowadays is indeed how bold the leaders are in striking out those unhealthy tendencies.

This paper fills in the blanks in the Western world with a comprehensive description of, and comments on, the historical efforts on China’s corruption and economic crime prevention. It also, in various ways, provides meaningful information that links to China’s current furious war against corruption.

Extensible Markup Language (XML)‐based data integration systems (DIS) aim to support global updates. Data consistency among data sources is not yet enforced at the integration level or enforced in an ad hoc manner which leads to redundant checking of consistency or unrepairable mistakes. This paper aims to provide XQuery trigger service to enforce data integrity and data consistency in the DIS at the integration level.

Data consistency is enforced among data sources through providing XQuery trigger service for the XML‐DIS. An XQuery trigger model is defined and shown how to use this model to define different integrity constraints and triggers at the integration level. The paper proposes the architecture of the XQuery trigger service and shows how to enforce data consistency in the DIS. Important components including event detection, condition evaluation and action firing are discussed. Necessary algorithms including how to produce ChangeRecord, how to find activated triggers, how to process LET and FOR clauses and how to create data objects from XML fragment are proposed. Trigger termination and failure handling are also discussed.

XQuery trigger can express miscellaneous data integrity constraints and triggers in the DIS and is highly abstract, refined and easy to understand. XQuery trigger service provides an easy‐to‐maintain method of the data consistency rules and a uniform, nonredundant and centralized enforcement of data consistency.

An XQuery trigger model with namespace annotations, which can define constraints and triggers among different data sources. An XQuery trigger service architecture for the XML‐DIS, which can enforce data consistency at the integration level. For DIS administrators, who want to enforce data consistency when permitting updates at the integration level.

The emergence of “interorganizational marketing” as a hot topic leads to one key question: can interorganizational governance mechanisms (socialization, incentives, and monitoring) offered by marketing theory be applied to China, an emerging economy characterized by the Chinese guanxi relationship? The purpose of this paper is to seek to answer this question by introducing the importance of guanxi roles and by illustrating how to apply proper governance mechanisms to roles activation in Chinese business practice. The paper finds that the answer is “yes” and develops a theoretical model to show such interactions.

The paper applies interorganizational strategies to interpersonal relationships. Guanxi was categorized into three categories – family members, helpers and business partners – which meet each of the three governance mechanisms (in addition to favoring exchange as a special and typical Chinese governance mechanism) in the model.

Through ex post role activation, the paper argues that guanxi is a dynamic balance and the ways in which various governance mechanisms can set roles will lead to the roles either changing (reinforcement or dilution) or switching (helper to business partner, and vice versa). It seems futile to implement external governance mechanisms on family ties (the main category of guanxi) that have been firmly rooted in Chinese culture. On the other hand, applying the four mentioned governance mechanisms could reinforce, maintain, or dilute helper and business partner roles, or even make it possible to switch from one to another.

The paper proposes a new concept regarding relationship marketing, namely the application of governance mechanisms to interpersonal relationships, which provides people doing business in China with a new perspective for reference.