The Influence of Cultural Intelligence on Innovative Work Behavior Mediated by Job Satisfaction, Work Engagement, and Interpersonal Trust

Over time, there will be many changes made by an organization to survive in the industry it runs, therefore continuous innovation is needed in order to compete with its competitors. Employees who are involved in creating ideas for their organization tend to have high loyalty to the organization. Satisfaction at work will be felt by employees if the work carried out by them makes them enthusiastic in doing the work. The attachment felt by employees will create a sense of comfort for employees in carrying out their work. Mutual trust is one of the factors that will cause employees to feel comfortable in the organizational environment. The sample uses the slovin method with an error of 5% so that there are 117 respondents. Data were collected from respondents using a questionnaire, then processed and analyzed with SPSS version 22

Partial least squares (PLS) in Operations Management research: Insights from a systematic literature review

[EN] Purpose: The present paper aims to analyze the Operations Management (OM) research between 2014 and 2018 that has made use of Partial Least Squares (PLS) to determine whether the trends shown in previous literature reviews focused on this topic are maintained and whether the analyzed papers comply with the recommendations for reporting Design/methodology/approach: A systematic literature review has been carried out of OM articles that use PLS as an analysis tool. A total of 102 references from 45 journals from 2014 to 2018, published in WOS and Scopus, has been analyzed. Bibliometric analysis and a review of the PLS reporting standards applied in the context of OM have been developed. Findings: PLS is gaining importance and is widely adopted in OM as a statistical analysis method of choice. In general, certain aspects of PLS are correctly applied and adequately reported in the publications. However, some shortcomings continue to be observed in terms of their application and the reporting of results. A detailed comparison has been developed between the current research and previous OM research (as well as previous research on other disciplines) on this topic. Research limitations/implications: OM researchers making use of PLS should be aware of the importance of correctly reasoning and justifying their choice and fully reporting the main parameters in order to provide other researchers with useful information and enable them to reproduce the performed analysis. Originality/value: This article builds a study with results based on a greater number of articles and journals than the two previous literature reviews focused on this topic. Therefore, it provides a richer and more up-to-date evaluation of trends in the use and reporting of PLS. Additionally, the present paper assesses whether the studies follow the indications suggested in recent years triggered by significant changes in the standards of reporting results obtained through the use of PLS.This study has been conducted within the frameworks of the following funded competitive projects: PID2019-105001GB-I00 (Ministerio de Ciencia e Innovacion, Spain); 1381039 (Programa Operativo Feder Andalucia 2014/2020, Junta de Andalucia) and PY20_01209 (PAIDI 2020, Junta de Andalucia).Bayonne, E.; Marin-Garcia, JA.; Alfalla-Luque, R. (2020). Partial least squares (PLS) in Operations Management research: Insights from a systematic literature review. Journal of Industrial Engineering and Management. 13(3):565-597. https://doi.org/10.3926/jiem.3416S56559713

Unleashing the power of supply chain learning: an empirical investigation

Purpose Organisational learning plays a critical role for firms to keep abreast of a supply chain environment filled with volatility, uncertainty, complexity and ambiguity (VUCA). This study investigates the extent to which supply chain learning (SCL) affects operational resilience under such circumstances. Design/methodology/approach This study developed a research framework and underlying hypotheses based on SCL and information processing theory (IPT). An empirical test was carried out using secondary data derived from the “Supply Chain Policy” launched by the Chinese government and two large related conferences. Findings SCL positively relates to operational resilience, and several moderators influence the relationship between them. The authors argue that digital-technological diversity could weaken the role of SCL in operational resilience, whereas customer concentration, and participating in a pilot programme could enhance the effect of SCL. Practical implications Firms should embrace the power of SCL in building resilience in the VUCA era. Meanwhile, they should be cautious of a digital-technological diversification strategy, appraise the customer base profile and proactively engage in pilot programmes. Originality/value This research develops the SCL construct further in the context of China and empirically measures its power on operational resilience using a unique dataset. This contributes to the theorisation of SCL

The role of indigenous technological capability and interpersonal trust in supply chain learning

Purpose The purpose of this paper is to investigate the effects of indigenous technological capability and interpersonal trust on product innovation through supply-chain learning under a dynamic environment. Design/methodology/approach The proposed model is tested with a sample of 300 manufacturers in China. Findings The results show that the learning from customers partially mediates the relationship between indigenous technological capability and product innovation, as well as between interpersonal trust with customers and product innovation. In addition, the influence of indigenous technological capability on learning from customers is weakened under a dynamic environment as well as the influence of learning from customers on product innovation. Originality/value This study illustrates the comparative roles of indigenous technological capability and interpersonal trust in learning customer knowledge and promoting innovation. It also enriches the innovation research by understanding the learning roles of indigenous technological capability and interpersonal trust under a dynamic environment