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This study examines the moderating role of information sharing on the effect of lead-time management on the performance of firms in the Zimbabwean motor industry.

Data were collected using Likert-based structured questionnaires from a sample of 105 employees in Zimbabwe. In addition, Pearson Correlation, Linear Regression and Moderation Regression analysis were employed to test the relationship between study variables.

The study found that fixed lead time, preprocessing lead time, processing lead time and postprocessing lead time significantly influence the performance of firms in the motor industry. The results also demonstrate that information sharing moderates the effect of lead-time management on firm performance in the motor industry.

Firms in the motor industry should establish long-term relationships with their suppliers and implement effective communication channels for timely and frequent information exchange regarding production schedules, inventory levels, quality standards and potential disruptions.

The current study aims to contribute to the scientific discourse on lead-time management, information sharing and performance in the motor industry. Furthermore, it extends knowledge on the performance of the motor industry in the African region.

The relationship between variation in time perspectives and collaborative performance is scarcely explored, and even less is known about the respective mechanisms that lead to varying task performance. Thus, we aim to further the literature on time perspectives and collaborative performance, shedding light on the underlying behavioral patterns.

We report a quasi-experiment analyzing the impact of past, present and future orientation variation in dyads (N = 76) on their quantitative and qualitative performance when confronted with a simple incentivized creative task with constraints. Subsequently, we offer a qualitative analysis of comments given by the participants after the task on the collaboration.

Results indicate that a dyad's elevation of past orientation and diversity in future orientation negatively affect collaborative performance. At the same time, there is a positive effect of elevation of future orientation. The positive effect is driven by clear communication and agreement during the task, while the negative effect arises from work sharing and complementation.

This study provides insights for organizations on composing individuals regarding their temporal focus for collaborative tasks that should be executed rapidly and require creative solutions.

Our study distinguishes by considering the composition of past, present and future time perspectives in dyads and focuses on a creative task setting. Moreover, we explore the mechanisms in the dyads with a substantial elevation of/diversity in future orientation, leading to their stronger/weaker performance.

The present research aims to investigate how lean project management (LPM) and agile project management (APM) affect project performance outcomes in the construction sector in Jordan. This study focuses on six key project performance outcomes, namely cost, time, quality, client satisfaction, innovation and responsiveness.

The present study employed a quantitative approach to achieve the research objectives. Accordingly, a multi-item survey questionnaire was prepared to gather data from 392 project managers from construction companies in Jordan. The study’s model showed acceptable levels regarding reliability, validity, fit indices and discriminant validity. In order to test the hypotheses of this study, path analysis was employed using Amos 24.0 software.

LPM demonstrated a remarkably high positive impact on cost performance. It also positively affected quality performance and client satisfaction. However, LPM insignificantly affected time, innovation and responsiveness performance measures. On the other hand, APM showed a notably high positive impact on innovation and responsiveness. The findings also revealed that APM positively impacted quality performance and client satisfaction. In addition, APM negatively impacted cost performance and insignificantly impacted time performance.

This study is one of the first comprehensive studies to empirically examine the impact of both LPM and APM on various project performance outcomes in the construction industry in the context of a developing country. It reveals some similarities and differences between LPM and APM with regard to their impacts on project management outcomes. The findings are expected to guide managers in selecting the appropriate project management approach based on the desired performance outcomes. Accordingly, it offers important implications for project managers in construction companies.

The study objective was to understand what components of organizational culture and capability combined with analytic skillsets are needed to allow organizations to exploit real-time analytic technologies to create supply chain performance improvements.

The authors relied on information processing theory to support a hypothesized model, which is empirically tested using an ordinary least squares equation model, and survey data from a sample of 208 supply chain executives across multiple industries.

The authors found strong support for the concept that real-time analytics will require specialized analytical skills for the managers who use them in their daily work, as well as an analytics-focused organizational culture that promotes data visibility and fact-based decision-making.

Based on the study model, the authors found that a cultural bias to embrace analytics and a strong background in statistical fluency can produce decision-makers who can make sense of a sea of data, and derive significant supply chain performance improvements.

The research was initiated through five workshops and presentations with supply chain executives leading real-time analytics initiatives within their organizations, which were then mapped onto survey items and tested. The authors complement our findings with direct observations from managers that lend unique insights into the field.

The purpose of this research is to study the impact of perceived adoption of Lean principles on operational performance in Lebanese pharmaceutical industries.

A quantitative method was implemented using a questionnaire that targeted 253 respondents working in eight good manufacturing practices (GMP) certified Lebanese pharmaceutical companies. Reliability analysis was performed using SPSS, and the research hypotheses were tested using regression analysis.

The results demonstrated that Lean principles positively and directly affected operational performance. It also positively affected operational performance factors of quality, cost and time. However, the analysis of each of Lean principles impact on operational performance cost was analyzed perfection, value, and value stream mapping (VSM) significantly increased operational performance. In addition, pull only positively augmented the cost reduction, whereas flow did not show any effects on any of operational performance’s factors.

In addition to enhancing operational performance, the positive effect of the perceived adoption of Lean principles on performance is also explained by managers’ efforts in studying the flow of actions in their processes to reduce wastes. To face uncertainty, training and building a workforce that is able to implement Lean principles, equipping this workforce with needed artifacts, and promoting a high-performance culture are crucial for the successful implementation of Lean principles.

Lean approach has become a major pathway of improvement especially in pharmaceutical companies. Few studies analyzed the impact of each of the Lean principles on the operational performance in companies that operate in era of uncertainty. Furthermore, the perceived adoption of Lean principles is under investigated in the Middle East in general and in Lebanon in particular.

This paper evaluates the risk-adjusted returns, selectivity, market timing skills and persistence of the performance of Nigerian pension funds.

Annual return data of 23 pension funds that operated in Nigeria between 2018 and 2022 were obtained from the National Pension Commission (PenCom). Risk-adjusted return was appraised using the Treynor ratio, Sharpe ratio and Jensen alpha, while the Treynor–Mazuy and Henriksson–Merton multiple regression models were applied to decompose selective and timing skills. Performance persistence was assessed using the contingency table and rank correlation models.

Evidence shows that pension funds deliver excess risk-adjusted returns and exhibit selective skills. However, the evidence does not support the presence of timing skills, and there is overwhelming evidence that good (bad) performance does not repeat.

An evaluation of the investment performance of pension funds is crucial for ensuring the financial stability of retirees, maintaining economic stability and making informed investment decisions. It serves the interests of pensioners, pension fund managers, regulators and the broader economy. Our evidence that pension funds generate positive excess returns is a departure from most of the literature on managed funds. We recommend that more Nigerians should leverage the pension fund industry to grow their wealth and prepare for retirement.

This study, to our knowledge, is the first to appraise all the key facets of the investment performance of pension funds in the Nigerian context.

Certified B Corporations (B Corps) represent a prominent manifestation of applying stakeholder principles in practice by emphasizing social and environmental performance and striving to create value for all stakeholders. This paper aims to investigate an important question that has been unexplored so far in a vast body of literature on stakeholder management and fast-growing research on B Corps: does the timing of a B Corp’s certification impact the firm’s economic and social performance?

The research on the timing of obtaining B Corp certification is built around three intriguing puzzles: the impact of certification timing on a firm’s economic performance, social performance overall and social performance per stakeholder. In particular, the study examines the relationship between B Corp’s certification date and firms’ financial and social performance between 2017 and 2020.

Based on the data from 168 privately owned B Corps in the USA, the results of our study suggest that while there is no financial benefit associated with earlier certification, there are significant improvements in social performance. Yet, a firm’s social performance improvement is not uniform among its stakeholders.

This study explored the impact of B Corp certification’s timing on the firm’s economic performance within only three years, from 2017 to 2019. This limitation comes from the specifics of the PrivCo database. Measuring a firm economic performance over a longer period may benefit the research on B Corp certification’s timing and which can be a promising path for future research.

When it comes to practical implications, it is important that firms deciding to pursue a B Corp certification understand that certification may not result in an immediate financial impact. This practical implication, though, may need to be calibrated depending on the extent to which participating organizations publicize their certification.

Despite the growing popularity of B Corps in the USA and worldwide, it has been a black box when it comes to understanding when exactly firms should start to pursue B Corp certification to enhance their social value creation. Thus, this study is well timed to contribute to unpacking this black box by showing that the earlier a firm obtains B Corp certification, the more social value it would create. To the best of the authors’ knowledge, this is the only study to date that explored the social performance implications of timing to certify as a B Corp.

When it comes to practical implications, it is important that firms deciding to pursue a B Corp certification understand that certification may not result in an immediate financial impact. This practical implication, though, may need to be calibrated depending on the extent to which participating organizations publicize their certification.

This paper aims to investigate the long-run financial and environmental performance of corporate green bond issuers, worldwide.

The data includes 259 corporate green bond issuers from 2013 to 2020. The authors adopt the matching approach, using the nearest neighbor method to select the control firms. The event-time approach is used to examine corporate green bond issuers’ long-run stock market performance, and robustness tests are conducted using the calendar-time method. The authors examine green bond issuers’ long-run environmental performance and carbon dioxide (CO₂₎ emissions using difference-in-differences estimations.

In contrast with the earlier long-run event studies, our results reveal that multiple-time issuers, and issuers operating in industries where the natural environment is financially material, perform financially in the long term relative to the control firms. The authors also document that corporate green bond issuers reduce their CO₂ emissions, and improve their resource use efficiency and environmental performance, in the long run.

To the authors’ knowledge, this is the first study that looks at the long-run effect of corporate green bond issuance on firms’ stock market performance. It has the particularity to document that corporate green bond issuance is beneficial for investors and positively affects the environment. Our findings help us understand that firms do not issue green bonds for greenwashing.

Accurate prediction of the structural condition of urban critical infrastructure is crucial for predictive maintenance. However, the existing prediction methods lack precision due to limitations in utilizing heterogeneous sensing data and domain knowledge as well as insufficient generalizability resulting from limited data samples. This paper integrates implicit and qualitative expert knowledge into quantifiable values in tunnel condition assessment and proposes a tunnel structure prediction algorithm that augments a state-of-the-art attention-based long short-term memory (LSTM) model with expert rating knowledge to achieve robust prediction results to reasonably allocate maintenance resources.

Through formalizing domain experts' knowledge into quantitative tunnel condition index (TCI) with analytic hierarchy process (AHP), a fusion approach using sequence smoothing and sliding time window techniques is applied to the TCI and time-series sensing data. By incorporating both sensing data and expert ratings, an attention-based LSTM model is developed to improve prediction accuracy and reduce the uncertainty of structural influencing factors.

The empirical experiment in Dalian Road Tunnel in Shanghai, China showcases the effectiveness of the proposed method, which can comprehensively evaluate the tunnel structure condition and significantly improve prediction performance.

This study proposes a novel structure condition prediction algorithm that augments a state-of-the-art attention-based LSTM model with expert rating knowledge for robust prediction of structure condition of complex projects.

Acknowledging the significance of perceived organizational support (POS) for employees’ performance, this study aims to examine the underlying mechanism of task performance in a COVID-19 pandemic-induced blended working (TPBW) environment and the role of perceived usefulness of digitalization (PUDBW) in the process.

Survey data collected from 204 managers of Indian public sector undertakings pursuing blended working for the first time were analyzed using structural equation modelling. A qualitative study on 31 such managers was also performed.

Although employees perceived an improvement in POS, PUDBW and TPBW (during the COVID pandemic) in comparison to the pre-COVID time when traditional work design was operational, yet the improvement in task performance was not directly influenced by POS. POS had a positive effect on PUDBW, which in turn positively affected TPBW. PUD acted as a mediator. A negative moderation effect of POS on the relationship between PUDBW and TPBW was found.

Findings of the study may help organizations and policymakers to focus on key enablers, such as organizational support and relevant digital initiatives, for ensuring better task performance by their employees during a blended working environment, even in difficult times as the COVID-19 pandemic.

This study, for the first time, examined the proposed relationships in a new work setting of blended working and explained the underlying mediation and moderation mechanisms in their relationships.