•A mapping of factors that influence retail ecosystem reactions to COVID-19 shock.•Triggers of digital engagement serve transformative capacity of digitalization.•Socio-economic adaptability of ...retail structures and serviceability are key.•A set of four propositions is provided that may support future investigations.
This study seeks to unravel the factors that have triggered changes in individuals’ engagement with online consumption during the COVID-19 crisis and investigate the influence of digital technologies on the retail ecosystem during the lockdowns, as seen through the eyes of consumers. In doing so, a qualitative empirical research approach was adopted, and data was collected via in-depth interviews with 35 respondents during the COVID-19 lockdown in China. The study has delineated a systematic mapping of the retail ecosystem's reactions to the COVID-19 shock. Three overarching dimensions related to consumers’ online purchasing behaviors during the COVID-19 pandemic were identified: triggers of enhanced digital engagement, transformative capacity of digital technologies, and socio-economic adaptability during crises. The relevant themes underlying each aggregate dimension were further elaborated with evidence from the interviews. The study findings advance the extant literature on purchasing behavior and online retailing in times of crisis and offer important practical implications on improving crisis management capabilities of the retail ecosystem via digital technologies. As a final output, four propositions were extracted to serve for further research.
In the context of Digital Economy the usage of information and communication technology to promote commercial operations has grown significantly with the advent of electronic business and networking ...systems. This research focuses on the new generation technologies and on communications between all supply chain components. The study enable Russian and Thai retail supply chain administrators and market leaders (including policy makers) to share their expert opinion about impact of digital transformation on supply chain performance. Once each organization affirmed its commitment to be engage in the interview, analytical conclusions were made on the basic of semi-structured open discussions and surveys of 18-36 employees from each organization which were combined in such a way as to present a complete profile of the organizations readiness to Industry 4.0 strategy. 236 semi-structured open interviews focused on a few topics and keywords have been performed. In fact, five generalized qualitative interviews (profiles) present the analytical evidence from five leading brands. This approach helps to consider more fully how they perceive and understand digital transformation. The purpose was to gain a rich basis of the interviewed person’s content and this approach is quite well adapted to analyses. The research implemented the quantitative methodology throughout using the named data and had been treated with SPSS statistical tool for hypotheses validation. As the result statistically evidenced presence of a relationship between digitalization, the Industry 4.0 technologies and supply chain performance.
•Examines conditions for knowledge transfer success between organizational partners within an open-innovation ecosystem.•Employs an fsQCA approach to analyse empirical data captured from ecosystem ...partners.•Results reveal combinations of conditions required for knowledge transfer success between ecosystem partners.•Differing condition combinations are present within equally successful, ecosystem partnerships.•Combinations are dependent on the type of ecosystem partnership under consideration.
Open innovation ecosystems involve the transfer of knowledge between multiple stakeholders to contribute toward product and service innovation, and to an extent, have superseded network-level approaches to co-creation. Effective management of the knowledge and information transferred between ecosystem partners is crucial for the process of open innovation. However, to date, limited research has focused on ascertaining the conditions required for knowledge transfer success, particularly where the context involves collaboration between diverse organizational actors. Correspondingly, this study extends existing knowledge by presenting an exploration of conditions for knowledge transfer success between ecosystem partners. Semi-structured interviews were conducted with thirty key stakeholders in order to acquire their perceptions of the presence of specific conditions within their ecosystem partnerships. Empirical data were analyzed using a fuzzy-set Qualitative Comparative Analysis approach, resulting in the production of success recipes from multinational, small and medium-sized enterprise, and academic institution perspectives. Results indicate that combinations of knowledge, relationship, and organizational characteristics contribute to knowledge transfer success. However, these combinations are found to be dependent on the type of ecosystem partnership involved. Theoretical and practical implications of the study are presented, along with acknowledged limitations and suggestions for further work.
Serving as an effective tool for describing both randomness and fuzziness of qualitative concepts, the cloud model has become a common topic of research. By realizing the uncertain transformation ...between qualitative concepts and quantitative data, the cloud model provides a new way to deal with group decision making problems in the linguistic environment. However, classical methods based on the cloud model mainly focus on addressing problems with a small number of decision makers. In this paper, we apply the cloud model to the decision making problems that involve a large group of decision makers. Specifically, we first define a new measure of fuzzy distance for clouds based on the <inline-formula><tex-math notation="LaTeX">\boldsymbol { \alpha -cuts}</tex-math></inline-formula>. On the basis of the proposed fuzzy distance measure, we then present a new similarity measure between clouds. Next, we construct an improved clustering approach based on the traditional hierarchical clustering algorithm. Furthermore, we develop a hybrid weight scheme to obtain the cluster weight vector, which takes both the subgroup size and the variance into consideration. Moreover, we present a consensus-based method based on the cloud model for large group decision making with linguistic information. Finally, in order to confirm the validity and effectiveness of the proposed method, we give an application in the context of the Belt and Road Initiative of China, and perform some detailed comparisons to show the advantages of the proposed method.
This study examined whether there are any connections between the Year 8 mathematics content of the lessons of four competent mathematics teachers in two different school settings in Brunei ...Darussalam. A continuous series of lessons was video recorded, ranging between four to six consecutive lessons for each teacher participant. The qualitative approach analyses reported firstly, the connections in the mathematical content made between the teachers collectively, and secondly, the particular connections made by the individual teachers in each of their lesson sequences. The commonalities found among the teachers were on the topic of statistics and the close similarity between the combined lessons of the two teachers in the second school setting. Although two teachers made visible connections by making references to the content that was used in their previous lessons, only one of them consistently connected or made apparent references of real-life examples to several problem tasks among his lessons.
Purpose
Knowledge is considered as a strategic asset for the organizations, especially for knowledge-intensive firms. Research and development (R&D) is a significant unit in organizations, as it is ...devoted to knowledge creation and transfer. The success of any R&D project in an organization depends on its innovative value and the transfer of knowledge to the employees. This study aims to focus on factors triggering knowledge-hiding behavior among R&D employees, thus disrupting the knowledge creation in the organization.
Design/methodology/approach
The grounded theory approach has been used to analyze qualitative data collected from 19 in-depth interviews of R&D professionals (middle and junior level) working in Indian pharmaceutical firms.
Findings
The study identified factors that triggered knowledge-hiding behavior among employees. These factors include distrust, competitive work environment, perceived career insecurity, lack of recognition, lack of reciprocation and lack of confidence in own knowledge. In addition, four hiding strategies used by employees to hide their knowledge from their fellow members were explored and identified: playing innocent, being misleader/evasive hiding, rationalized hiding and counter-questioning.
Research limitations/implications
Besides improving the understanding of knowledge-hiding behavior, particularly in the Indian context, this study has implications for both managerial practices and organizational policies.
Originality/value
This paper highlights the factors influencing knowledge-hiding behavior among R&D employees. Knowledge-hiding construct has not been adequately studied; however, it prevails in the organization and has potential to influence various individual- and organizational-level outcomes. In addition, ways of hiding knowledge used by employees were identified and new forms of strategies named “counter-questioning” were found.
The proliferation of services and service interactions within microservices and cloud-native applications, makes it harder to detect failures and to identify their possible root causes, which is, on ...the other hand crucial to promptly recover and fix applications. Various techniques have been proposed to promptly detect failures based on their symptoms, viz., observing anomalous behaviour in one or more application services, as well as to analyse logs or monitored performance of such services to determine the possible root causes for observed anomalies. The objective of this survey is to provide a structured overview and qualitative analysis of currently available techniques for anomaly detection and root cause analysis in modern multi-service applications. Some open challenges and research directions stemming out from the analysis are also discussed.
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•Collision accidents between icebreaker and assisted ship in ice-covered waters are investigated.•The collision risk factors are identified and classified according to HFACS-SIBCI ...model.•The fault tree model is proposed to analyze collision risk factors under icebreaker assistance.•Risk Control Options (RCOs) are formulated to prevent collision accident occurrence in ice-covered waters.
With the global warming and a large amount of sea ice melting, the available Arctic Sea Route has greatly enhanced the value of Arctic shipping. Ship operations under icebreaker assistance have become an essential way to facilitate the safe navigation of merchant vessels sailing through the Arctic Sea Route in ice-covered waters, but they can also put the crew and the ship in danger caused by a possible collision between the assisted ship and the icebreaker. In this paper, a dedicated Human and Organizational Factors (HoFs) model of ship collision accidents between an assisted ship and an icebreaker is developed and analyzed with the aim to identify and classify collision risk factors. First, a modified model of the Human Factors Analysis and Classification System (HFACS) for collision accidents between a ship and an icebreaker in ice-covered waters is proposed, which helps to analyze ship collision reports. Then, a Fault Tree Analysis (FTA) model is utilized to analyze the fundamental collision risk factors according to the statistical analysis of accident reports and expert judgments based on the HFACS-SIBCI model. Finally, qualitative analysis is carried out to analyze collision risk factors under icebreaker assistance, where Risk Control Options (RCOs) are formulated. An important guidance for the risk control of ship collisions during icebreaker assistance in ice-covered waters is provided for lawmakers and shipping companies.
Abstract
This study aims to determine the need for learning physics due to the covid-19 pandemic. This type of research is a preliminary study with a descriptive approach and the instrument used is a ...questionnaire. The research subjects were 30 high school teachers consisting of 30 schools in two provinces of East Java and Central Sulawesi. The data analysis of this research is descriptive qualitative obtained based on the teacher’s answers. This study shows that several learning components influence overcoming learning problems during the COVID-19 pandemic, namely technological developments, learning models, and learning media. This study concludes that it is necessary to develop physics learning devices as an alternative to learning during the covid-19 pandemic.
Abstract
A computational tool for learning electrostatic physics is presented through the development of a disruptive methodology. The tool allows the analysis of case studies based on Coulomb’s law, ...Gauss’s law, Poisson’s equation, and Laplace’s equation with boundary value. The tool was tested using reference exercises for each case study, making use of quantitative and qualitative comparative analysis between the traditional mathematical development and the computational tool. Errors were measured using Likert scale. The quantitative results showed errors of less than 1.8% in all the cases studied, concluding that the tool is effective. The qualitative results showed that the methodology allows a better development of the electrostatics learning process, dynamizing the study of complex topics such as electromagnetic physics theories through interactivity and technological resources, in addition to having a theoretical module developed using agile methodologies that provide dynamism and an intuitive environment to the interface.
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