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Drawing on self-determination theory (Deci and Ryan, 2012) and Hew’s (2016) five-factor model, our study aimed to investigate the impact of two online training design factors (instructor accessibility and active learning) on learner’s self-efficacy and learning outcome amid the COVID-19 pandemic.

A randomized pretest-posttest control group field experiment was designed to assess participants’ self-efficacy and learning outcome of an online training program - territory business management plan, under three conditions: instructor accessibility, active learning, and controlled. Participants (N=87) were medical sales representatives from a Fortune-Global 500 pharmaceutical company’s subsidiary office in China. Data was analyzed with 2 (time) x 3 (group) MANOVA with time (pretest and posttest) as a repeated measure to investigate differences in changes in self-efficacy and learning outcome between three groups.

Overall, participants’ self-efficacy and learning outcome were significantly improved via the online training program for all three groups. Specifically, the impact of the training on learning outcome was the strongest for the active learning group, less strong for the instructor accessibility group, and the least strong for the control group.

Our research contributes towards understandings of the effectiveness of online talent training programs by examining two critical instructional design factors during a time of crisis. Our findings suggest that active learning (interactions with the training materials by purposeful self-reflection) might be a stronger predictor for increasing learning outcome than instructor accessibility (receiving feedback and tutoring sessions from the instructor) for online training programs.

The purpose of this study is to propose and examine an integrated learning model for improving training effectiveness in workplace learning. Specifically, this study investigated the effect of achievement goal-setting intervention across three groups of new employees from a multinational medical company. During a three-day remote training program, the role of each achievement goal orientation (AGO) in goal setting intervention and their relations with trainees’ applied learning strategies were examined. This study proposed and validated an integrated training model for improving remote workplace learning effectiveness.

This study was based on two data sources, the pre- and posttests scores; time on task (deep learning: completing reflective practice) and time on content learning (surface learning: watching tutorials) retrieved from an adaptive learning platform. A total number of 133 participants were recruited in this study, and they were randomly assigned to three interventional groups. The intervention was grounded from the AGO theory and goal setting theory. A series of statistical analysis were conducted to examine the effect of each type of achievement goal setting as a prompt for new employees’ learning behavior and performance.

Results indicated that setting mastery goal at the beginning of the training program leads to productive learning outcomes. Compared with the groups being required to set performance goal (final rank) or not to set any goal for the training purpose, trainees’ who were assigned to set a mastery goal (final performance score) performed statistically significantly higher than the other groups. Additionally, learners who set mastery goal spent higher proportion of time on deep learning than learners from the other groups. The results proved mastery goal setting as an effective prompt for boosting workplace learning effectiveness.

Organizations and institutions can take setting mastery approach goals as a prompt at the beginning of the training to increase learning effectiveness. In this way, trainees are promoted to apply more deep learning strategies and achieve better learning outcomes while setting mastery goal for their training purpose.

To the best of the authors’ knowledge, this study was the first to combine the intervention of goal setting and types of AGOs into workplace learning. This study adds to previous research on goal setting theory and AGO theory for the practical application and proposes an effective model for learners’ adaptive remote learning. Findings of this study can be used to provide educational psychological insights for training and learning in both industrial and academic settings.

In the long-term network operation, the power distribution network will be subjected to the effects of ultra-high voltage, strong electromagnetic interference and harsh natural environment on the power system, which will lead to the occurrence of different faults in the distribution network and directly affect the normal operation of the power grid.

The purpose of this study is to solve the problems of labor intensity, high risk and low efficiency of distribution network manual maintenance operation, this paper proposed a new configuration of the live working robot for distribution network maintenance, the robot is equipped with dual working arms through the mobile platform, which can realize the coordination movement, the autonomous reorganization and replacement of the end tools, respectively, so as the robot power distribution maintenance function such as stripping, trimming, wiring and the operation control problem of the distribution network-robot with small arms and in small operation space can be realized.

To effective elimination or reduce the adverse effects of the internal forces in the closed chain between the working object and manipulator under the typical task of the 10 kV distribution network, this paper has established the robot coordinated control dynamics model in the closed-chain between the dual-working object and proposed the dynamic distribution method of closed-chain internal force and the effectiveness has been proved by simulation experiments and 10 kV field operation.

The force-position hybrid control can realize the mutual compensation of force and position so as to effectively reduce the internal force in the closed chain. Finally, the engineering practicality of the method is verified by field operation experiment, the effective implementation of this control method greatly improves the robot working efficiency and the operation reliability, the promotion and application of the control method have great theoretical and practical value and maintenance management system, so as to achieve automation of electric.

While top management teams (TMTs) play an important role in shaping firms’ strategic choices and performance outcomes, studies on green innovation have rarely considered the influence of the TMT demographics of firms and their suppliers. Drawing upon upper echelon theory, this study investigates the impact of buyer–supplier TMT misalignment on green innovation performance, along with potential moderators of this effect.

The empirical setting is Chinese-listed manufacturing firms that are present in both the Chinese Research Data Services Platform (CNRDS) database and the China Stock Market and Accounting Research (CSMAR) database. The study employs panel data regression methods on a dyadic dataset of 530 paired buyer–supplier firm-year observations over the period 2008–2019.

Buyer–supplier TMT misalignment in terms of functional background and educational level is negatively associated with buyer green innovation performance. This negative effect can, however, be mitigated by TMT tenure and long-term incentives in buyer firms.

By introducing the notion of TMT background misalignment to the supply chain, this study advances the understanding of relational TMT demographics in predicting organizational performance and extends upper echelon theory.

The study examined the impact of feedback types through a learning management system (LMS) on employees’ training performance. The purpose of this study is to establish effective feedback on advanced technologies for promoting corporate training.

A total of 148 trainees were recruited from a multinational medical company. Employees were randomly assigned to receive feedback from shallow to more constructive details on their learning performance with LMS. Data sources included are employees’ goal setting (GS) performance evaluated by the experts and their posttest scores obtained from the LMS. A series of statistical analyses were performed to investigate the impact of feedback intervention on employees’ GS and their impacts on corporate training results.

GS has a significant impact on learning outcomes. Employees who set greater specific goals attained higher scores. Furthermore, feedback with more formative evaluation and constructive developmental advice resulted in the most significant positive influence on the relationship between participants’ GS and learning outcomes.

Organizations can benefit from delivering appropriate feedback using LMS to enhance employees’ GS and learning efficacy in corporate training.

This study is one of the first to examine the moderating effect of feedback provided by LMS on GS and online learning performance in corporate training. This study contributes to GS theory for practical application and proposes a viable method for remote learning. The current study’s findings can be used to provide educational psychological insights for training and learning in industrial contexts.

This study aims to examine the impact of mandatory adoption of The Act 2013 in UK on voluntary carbon disclosure. Mandatory adoption of The Act 2013 in UK is a compelling setting to examine this research question because it is an exogenous imposed event and is unlikely to be affected by disclosure choice.

This study uses a difference-in-differences research design to examine the impact of mandatory adoption of The Act 2013 in UK on voluntary carbon disclosure. The treatment sample includes 451 UK firms subject to mandatory adoption of The Act 2013, and the control sample includes firms from 15 EU countries that did not mandate adoption during the sample period.

The authors document an increase in the quantity and quality of voluntary carbon disclosure following adoption of The Act 2013 in the treatment sample relative to the control sample. They also find that firms with better environmental, social and governance (ESG) performance experience a highly significant increase in voluntary carbon disclosure after adoption of The Act 2013. For firms from carbon-intensive vs less-carbon-intensive sectors, the results suggest that firms in carbon-intensive sectors experience a greater increase in the propensity of voluntary disclosure after adoption of The Act.

The authors examine the impact of mandatory adoption of The Act 2013 in UK on voluntary carbon disclosure and the impact of firms’ ESG activity on the relationship between voluntary and mandatory carbon disclosure. To the best of the authors’ knowledge, this insight has never been documented in the literature.

This paper aims to set out the development, based on the extant literature, an integrated conceptual framework for the emergent field of sustainable global sourcing (GS) that synthesizes its antecedents, GS practices and sustainable performance.

Conceptual theory building combined with content analysis is used to develop a framework and propositions representing a middle-range theory of sustainable GS. A literature review of the 89 most influential papers is followed by a further discussion based on the resource orchestration perspective (ROP) to advance an integrated conceptual framework.

Three main themes are identified from the literature as antecedents, GS practices and sustainable performance, with each theme being detailed in a variety of constructs. Based on the ROP, the relationships between these constructs are revealed, and therefore, an integrated conceptual framework is advanced via three sets of propositions in recourse orchestration breadth, recourse orchestration depth and resource orchestration evolution, respectively. Eight directions for future research are further proposed.

First, this study provides a comprehensive framework for future study in the emergent field of sustainable GS. Second, the authors contribute to theory development by proposing a ROP to explore the GS practices towards sustainability. Third, the future research directions we proposed can benefit scholars interested in the overlapping areas of GS and sustainability.

In order to study the importance of climate comfortable conditions of urban public open spaces in marginal season of winter cities for people's outdoor activities, first, the paper ascertained the specific times of Harbin's outdoor and marginal seasons based on meteorological data from 1984 to 2013. Second, this paper conducted field survey, which includes in situ measurement and structured interview, in three typical urban public open spaces in marginal season. The calculated results show that Harbin has an outdoor season from Apr 25th to Oct 1st, and the spring marginal season is from Apr 4th to Apr 24th, the fall marginal season is from Oct 2nd to Oct 24th. At the same time, the results of in situ measurement show that there is great room for the improvement of climatic conditions of urban public open spaces in the marginal season of winter cities, especially the public open spaces near to the high-rise buildings and waterfront, and the apparent temperature in these two open spaces is about 3°C lower than the air temperature simultaneously. The results of structured interview show that people would like to do some outdoor activities when it is nice weather outside in marginal season, and the regression analysis results show that people's outdoor activities time are severely affected by climate comfortable conditions in marginal season. They feel that fine microclimate is much more important for a person than enough facilities and green landscape of urban public open spaces in marginal season. The paper suggested that the specific times of outdoor and marginal seasons should be added to some urban design guidance as a specification in urban planning practice, and this paper advanced some urban planning strategies related to urban design to improve climatic conditions of urban public open spaces in the marginal seasons of winter cities.

This paper explores the linkage of digital infrastructure to the cost of debt.

This study uses the implementation of the “Broadband China” policy that improves digital infrastructure as an exogenous shock and exploits the difference-in-differences method (DID).

Empirical analyses show that digital infrastructure leads to increased firms’ borrowing costs, which is robust to several robustness checks. In addition, we find that this unfavourable effect can be attributed to intensified market competition led by digital infrastructure construction. Cross-sectional analysis shows that this effect is greater for non-SOEs and smaller firms. Finally, we offer additional evidence of the unfavourable effect by showing that digital infrastructure construction leads to decreased fundamentals.

Our paper unveils how digital infrastructure construction affects firms’ business strategy in using private debts and extends the determinants of firms’ borrowing costs.

Despite the growing interest in the role of relation-specific investments (RSIs) in superior firm performance, their impact on sustainability performance remains unexplored, as do the underlying mechanisms of such effects. Drawing on the relational view and resource orchestration theory (ROT), the authors propose that supply chain learning (SCL) mediates the link between RSIs and sustainability performance.

A multi-method approach was adopted, combining a case study and survey. An exploratory case study of four Chinese manufacturing firms was first conducted to develop research hypotheses. A quantitative survey of data collected from 269 firms was then undertaken to test hypotheses.

Property-based, knowledge-based and personal-based RSIs positively impact firm sustainability performance and SCL. SCL fully mediates the relationship between knowledge-as well as personal-based RSIs and sustainability performance, and partially mediates the relationship between property-based RSIs and sustainability performance.

The study unveils important practical insights and approaches for firms endeavouring to achieve sustainability performance through RSIs and SCL.

The study extends the RSIs literature by linking RSIs and sustainability performance and differentiating the effects of different types of RSIs on sustainability performance. The theorized underlying mechanism advances the understanding of SCL in the link between RSIs and sustainability performance.