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Previous studies investigate factors affecting project outcomes. Yet, it has not been fully explored regarding which factors differentiate healthy projects from distressed projects in the early stage of the project delivery process. The purpose of this study is to investigate the links between project-planning factors and project outcomes in the closing phase.

The authors use a longitudinal survey method to examine the predictability of project-planning factors. Subsequently, the authos employ confirmatory factor analysis and hierarchical logit regression to develop project-distress classification models.

Analysis of 90 capital projects shows that performance variation in the project planning phase explains a substantial portion of project distress at completion. Subsequent univariate logit analysis shows that S5 (quality of scope control system) and Tn1 (new practices and technologies) variables have the strongest predictive abilities. Hierarchical logit analysis further shows that a combination of 15 metrics in the project-distress measurement model produces strong and stable predictive power.

This study assesses how well performance variation in the project-planning phase predicts project distress before construction phase. It does not assume the reported results apply to all types of projects. Nonetheless, future studies could generalize our findings by incorporating more types of projects.

This study takes a systematic approach, combining longitudinal survey, measurement theory and hierarchical logit analysis to identify distressed projects early, offering managers an opportunity to take early corrective actions. Practitioners may use this approach to investigate other types of projects and further refine the project-distress classification model into a project-specific model, thereby reflecting projects' unique characteristics.

Drawing on upper echelons theory, the authors study how the career horizon of a CEO promotes green innovation through the incentive mechanism. Meanwhile, from the perspective of speed and amount of value realization, the authors also identify two sets of shift parameters that reduce or increase incentive gap between short-career-horizon CEOs and long-career-horizon CEOs. Specifically considering the digital trend in China and the heterogeneity of firms and industries, this study aims to examine the moderating effects of firm digitalization, industrial digital transformation, slack resources and polluting firms.

In the context of China’s transitional economy, this study uses all A-share listed companies in China from 2007 to 2021, resulting in a total of 4,286 companies with 29,310 company-year observations.

The results support the hypothesis that CEO career horizon significantly facilitates green innovation at the firm level. The positive effect is attenuated by both firm digitalization and industrial digital transformation, but is amplified by slack resources and by the polluting firms. After a series of robustness tests, the research conclusions remain valid.

To extend the upper echelons perspective of existing research into CEO−green innovation, the authors make important contributions in four ways. First, this study contributes to green innovation literature by adding an unexplored yet increasingly important managerial determinant. Second, it advances research on the role of the CEO in green innovation by revealing a new theoretical mechanism. Third, it deepens the understanding of CEO career horizon by exploring its influence on innovations in the context of corporate social responsibility (CSR). Fourth, it identifies boundary conditions that motivate CEOs in distinguishable ways, to provide a nuanced understanding of the relationship between CEO career horizon and green innovation.

The Bed and Breakfast (B&B) enterprises generally lack sufficient human resources and time to conduct research on important social media marketing factors for visitors’ satisfaction and visitors’ intentions. Therefore, this study aims to provide crucial social media marketing and factors and service quality elements for improving customer satisfaction and customer loyalty in B&B sectors. This study also provides some recommendations for attracting more visitors and increasing customer satisfaction and customer loyalty through social media.

First, social media marketing factors and service quality elements were identified through the systematic literature review. Then these identified factors and elements were used to design a survey questionnaire for collecting data. The research data included responses of 64 B&B enterprises and 625 customers. The collected data was analyzed by feature selection approaches including Decision Tree algorithm and Information Gain to identify the key factors for improving customer satisfaction and customer loyalty.

The findings of this study determined that featured choice is an important social media marketing factor, and assurance is the common service quality element for both B&B enterprises and their customers in terms of satisfaction and loyalty.

This study adds a value to the growing literature on customer satisfaction and loyalty in B&B sectors by exploring key social media marketing factors and service quality elements. The study reveals several implications for theories and practices. The findings hopefully help B&B enterprises better social media marketing with less workforce and budget.

Researchers have long sought to understand how risks in supply chains (SCs) affect firm performance. Yet, they have not fully subjected claims of how SC risks affect firm financial performance to theoretical and empirical scrutiny. The purpose of this paper is to investigate the links between SC risks and firm financial performance.

The author analyzes how SC risks affect firm financial performance from the perspective of marginal financial performance (MFP) using survey and financial statement data. The author employs structural equation modeling to examine the hypotheses using 106 Taiwanese listed companies across 20 industries.

The findings regarding the importance of industry-specific risk, organizational risk, internal business process risk, and demand risk are consistent with prior studies. The author finds that demand risk has an MFP of −0.20, the highest negative effect among the risk variables. The findings also show that industry-specific risk possesses an MFP of −0.16, the second-highest negative effect, despite having no direct effect on financial performance.

This paper examines how SC risks affect MFP via combining survey and financial statement data. It does not assume the reported MFP estimates apply to all businesses in other countries. However, future research could triangulate our findings.

This study combines survey and financial data to analyze how SC risks affect firm financial performance. Specifically, it provides a methodology for estimating quantitative cause-effect relationships between SC risk and firm financial performance, an important topic that receives less research interest in the field of supply chain management.

The purpose of the study is to examine the crossover effect of leader's role overload on employee's negative affect. More importantly, the stuy will identify the buffering role of self-concordance goal on the relationship between leader's role overload and employee's negative affect.

The study builds the crossover impact of leader's role overload on employee's negative affect as well as the moderating effect of self-concordance goal. By a two-wave and paired data from 51 leaders and 225 employees, the study examines the hypothesis using cross-level analysis.

Results show that leader's role overload tends to reduce negative affect for employees who pursue high-level self-concordance goal and increase negative affect for employees who pursue low-level self-concordance goal.

It is important for employees to get rid of negative affect in the workplace. The study informs managers the benefits of pursuing self-concordance goals in helping employees alleviate the negative effect of leader's role overload.

Findings of the present study can enrich the literature of the crossover process from leader to employee and offer management strategy for enterprises about how to buffer the damaging effect of leader's role overload on employees.

This study develops a theoretical framework to explore the influence of green brand positioning on green brand loyalty, examining the mediating effects of green brand attitude and identification.

Employing an empirical approach, the study administers a questionnaire survey to 546 runners at a road race conducted in New Taipei City, Taiwan. Structural equation modeling is employed to validate the research framework.

The empirical results demonstrate that green brand positioning directly enhances green brand attitude and identification. High green brand attitude and identification lead to favorable green brand loyalty. Thus, the relationship between green brand loyalty and positioning is mediated by green brand attitude and identification.

To foster green brand loyalty, road race organizations can undertake efforts to enhance the brand positioning of their events.

Few studies have assessed green branding from the perspective of sports participants. This study develops a research framework of green brand loyalty through the lens of runners to address this research gap. The findings show that effective market segmentation strategies are crucial for attracting participants in highly competitive event markets. The findings advance the research field by considering green brand positioning, attitude and identification as factors for improving green brand loyalty.

This paper aims to provide a novel integrated fault detection method for industrial process monitoring.

A novel integrated fault detection method based on the combination of Mallat (MA) algorithm, weight-elimination (WE) algorithm, conjugate gradient (CG) algorithm and multi-dimensional Taylor network (MTN) dynamic model, namely, MA-WE-CG-MTN, is proposed in this paper. First, MA algorithm is taken as data pre-processing. Second, in virtue of approximation ability and low computation complexity owing to the simple structure of MTN, MTN dynamic models are constructed for each frequency band. Furthermore, the CG algorithm is used to discipline the model parameters and the outputs of MTN model of each frequency band are gained. Third, the authors introduce the WE algorithm to cut down the number of middle layer nodes of MTN, reducing the complexity of the network. Finally, the outputs of MTN model for each frequency band are superimposed to achieve outputs of MTN model, and fault detection is proceeded by the residual error generator based on the difference between the output of MTN model and the actual output.

The novel proposed method is used to perform fault detection for industrial process monitoring effectively, such as the Benchmark Simulation Model 1 wastewater treatment process.

The novel proposed method has generality and provides considerably improved performance and effectiveness, which is used to perform fault detection for industrial process monitoring. The proposed method has good robustness, low complexity and easy implementation.

This paper aims to enable students craft a winning corporate strategy applicable for organizations in various contexts. The practical approach consists of conducting scenario planning based on internal and external environment analysis, identifying the winning factor, proposing an implementation strategy of entry and exit strategies, and future customers, and evaluating matching of business ethics and legality.

Wesley Chen, the executive director and group chief executive officer, has the ultimate challenge of leading his management team to operate from a sole proprietorship management style to a listed large company in the Malaysian Stock Exchange. He identified the gap in the need to craft a winning corporate strategy for business sustainability. The corporate strategy should address expansion of their service offerings and needs to be carefully crafted to suit TopSteel’s risk appetite and overall business strategy. The strategy must also consider the internal and external factors that TopSteel faced with, identify the core competency of TopSteel, build in strategic agility in the implementation plans to address the dynamic business landscape, and most importantly ensure the corporate strategy must be in compliance to ethical and legal standards. The case study documents the one year of transition of TopSteel’s operations with a strong focus on the strategic management process direction for a winning OEM+ model through the use of SWIM concept.

This case is suitable for undergraduate or postgraduate programs or even executive courses in strategic management.

Teaching Notes are available for educators only.

CSS 11: Strategy

Previous studies have yielded mixed results regarding the influence of pay for individual performance on job satisfaction. This study aims to investigate how and when pay for individual performance impacts employee job satisfaction.

In light of self-determination theory, this study examines the moderating effect of self-concern and other-orientation on the association between pay for individual performance and employee job satisfaction through the mediation of intrinsic motivation. This study tests the proposed hypotheses using a two-wave survey study (n = 701) and an online experiment study (n = 440).

The findings reveal that pay for individual performance has an indirect positive (negative) effect on employee job satisfaction through intrinsic motivation among those with high self-concern or low other-orientation (high other-orientation).

These results underscore the substantial role of individual differences in prosocial orientations when explaining how pay systems shape employees’ attitudes.

Previous studies have vague views about whether employees who are required to complete large amounts of work (i.e. role overload) would proactively create a change in their job characteristics (i.e. job crafting), because the cognitive mechanism underlying the nexus between role overload and job crafting is unclear. The aim of this study is to identify why and when role overload has an impact on job crafting.

This study builds a second-stage moderated mediation model. Using a two-wave panel field study of 213 employee–supervisor matched data, this study examines the proposed hypotheses.

Results show that role overload decreases construal level, which can determine the tendency of employees to focus on the feasibility (low level of construal) or desirability (high level of construal) of behaviors. Goal self-concordance is the degree to which employees pursue their personal goals based on feelings of personal interests and values. The authors find that goal self-concordance guides employees who have higher levels of construal to exert more effort in job crafting. The authors further find that goal self-concordance moderates the mediating role of construal level. Specifically, for employees in pursuit of self-concordant goals, role overload reduces their construal level, resulting in less effort in job crafting. For employees who do not pursue self-concordant goals, role overload decreases their construal level, thereby improving job crafting.

The findings of this study enrich the literature on role overload and job crafting by revealing the mechanism and boundary conditions of the relationship between role overload and job crafting.