The effects of personal information management capabilities and social-psychological factors on accounting professionals’ knowledge-sharing intentions: Pre and post COVID-19
تأثیر قابلیت های مدیریت اطلاعات شخصی و عوامل اجتماعی-روانشناختی بر اهداف به اشتراک گذاری دانش حرفه ای حسابداری: پیش و پس Covid-19-2021
Given the increased emphasis on individual factors in knowledge management research, this study proposes a research model that examines the effects of personal information management capabilities and social-psychological factors on the knowledge-sharing intention of accounting professionals. The survey results from 136 accounting professionals reveal that both personal information management capabilities and perceived image can positively influence knowledge- sharing behavior. Conversely, reciprocity and loss of knowledge power do not exhibit a signifi- cant role in knowledge-sharing intentions. The comparison analyses between pre- and post- COVID-19 sample groups indicate similar results for the hypothesized relationships while there are notable mean differences in knowledge sharing intention, image and information processing capabilities. This study extends current research by incorporating personal information man- agement capabilities to examine the power of the “individual” in knowledge sharing and offers timely evidence of accounting professionals’ personal knowledge management practices during the period of COVID-19. This study raises implications for researchers and practitioners interested in knowledge management in the accounting profession.
keywords: تصویر | قصد به اشتراک گذاری دانش | از دست دادن قدرت دانش | قابلیت های مدیریت اطلاعات شخصی | متقابل | Image | Knowledge-sharing intention | Loss of knowledge power | Personal information management capabilities | Reciprocity
An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance
یک چارچوب هوش مصنوعی یکپارچه برای ایجاد دانش و تصمیم گیری منطقی بازاریابی B2B برای بهبود عملکرد شرکت-2021
This study examines the effect of big data powered artificial intelligence on customer knowledge creation, user knowledge creation and external market knowledge creation to better understand its impact on B2B marketing rational decision making to influence firm performance. The theoretical model is grounded in Knowledge Management Theory (KMT) and the primary data was collected from B2B companies functioning in the South African mining industry. Findings point out that big data powered artificial intelligence and the path customer knowledge creation is significant. Secondly, big data powered artificial intelligence and the path user knowledge creation is significant. Thirdly, big data powered artificial intelligence and the path external market knowledge creation is significant. It was observed that customer knowledge creation, user knowledge creation and external market knowledge creation have significant effect on the B2B marketing-rational decision making. Finally, the path B2B marketing rational decision making has a significant effect on firm performance.
keywords: هوش مصنوعی | داده های بزرگ | مدیریت دانش | بازاریابی B2B | عملکرد شرکت | Artificial intelligence | Big data | Knowledge management | B2B marketing | Firm performance
Micro-foundational dimensions of firm internationalisation as determinants of knowledge management strategy: A case for global strategic partnerships
ابعاد خرد بین المللی سازی شرکت به عنوان عوامل تعیین کننده استراتژی مدیریت دانش: موردی برای مشارکت های استراتژیک جهانی-2021
Innovation is a critical source of competitive advantage in an increasingly changing and globalising environment, thus, knowledge management lies at the core of a firm’s global business strategy. This paper investigates the relationship between micro-foundational dimensions of firm internationalisation and its knowledge management strategy in the emerging economies, which have been found more efficient in converting technology into socio- economic impact. We specifically look at the technology acquisition modes which are operationalised into three categories: internal development, global strategic partnership, and outsourcing. Results from the analysis of World Bank data collected from manufacturing firms operating in emerging economies show that specific micro- foundational dimensions such as the share of foreign employees, level of foreign input and foreign sales have a significant impact on the choice of technology acquisition mode by a firm; whereas the level of foreign ownership does not have such an effect.
keywords: پایه های میکرو | مشارکت جهانی استراتژیک | بین المللی شدن | استراتژی مدیریت دانش | کسب فناوری | بازارهای نوظهور | تاثیر اجتماعی و اقتصادی | Micro-foundations | Global strategic partnership | Internationalisation | Knowledge management strategy | Technology acquisition | Emerging markets | Socio-economic impact
Never the twain shall meet? Knowledge strategies for digitalization in healthcare
هرگز این دو نفر ملاقات نخواهند کرد؟ استراتژی های دانش برای دیجیتالی شدن در مراقبت های بهداشتی-2021
This paper explores the formation of knowledge strategies in digitalization of healthcare organizations. Adopting a case study design, we investigate how divergent professional groups including the management team, healthcare professionals and IT engineers in a Chinese hospital come together to develop coherent knowledge strategies during its digital transformation. The findings reveal four phases by which the interplays between the professional groups shaped the knowledge strategies. We systematically analyze the drivers, formation processes and outcomes of the knowledge strategies. Based on the findings, we propose four lessons that may help pro- fessional organizations at different stages of digitalization structure knowledge strategies that can stimulate knowledge creation, application, and synthesis. The study advances the understanding of knowledge strategy by emphasizing the interactions between diversified professional groups and the integration of different types of knowledge in achieving organizational goals. It also sheds light on the complexity and dynamics of knowledge strategy in the digitalization process of knowledge-intensive organizations.
keywords: مدیریت دانش | استراتژی دانش | سازمان دانش فشرده | دیجیتالی کردن | مراقبت های بهداشتی | مطالعه موردی | Knowledge management | Knowledge strategy | Knowledge-intensive organization | Digitalization | Healthcare | Case study
Assessment of customer knowledge management in academic libraries: Design and validation of a checklist
ارزیابی مدیریت دانش مشتری در کتابخانه های دانشگاهی: طراحی و اعتبار سنجی چک لیست-2021
A review of the research background shows that despite the usability of customer knowledge for libraries, the concept of Customer Knowledge Management (CKM) in libraries is rarely addressed. The purpose of this study was to identify the indicators, operational instances as well as the design and validation of an all-inclusive CKM implementation instrument in academic libraries. The study was conducted in two quantitative and qualitative phases. The final instrument was a CKM strategy that consisted of various indicators preliminary designed by drawing on literature review, and operational instances identified by qualitative interviews with 12 academic library managers. A Delphi study with 20 experts was used to assess the experts’ degrees of agreement on the retrieved indicators and instances. The result was a reliable and valid checklist consisting of 67 instances under 6 major and 12 minor indicators. This instrument would allow managers to assess the state of CKM in their aca- demic libraries, improve their library performance by checking the strengths and weaknesses against the in- dicators, and also serve as a basis for training the academic library staff on how to successfully implement CKM. With objective instances, the instrument is expected to improve the quality of customer services, customer satisfaction, and customer loyalty.
keywords: مدیریت دانش | دانش مشتری | مدیریت دانش مشتری | کتابخانه های دانشگاهی | بازخورد مشتری | مطالعه دلفی | Knowledge management | Customer knowledge | Customer knowledge management | Academic libraries | Customer feedback | Delphi study
Dynamic capabilities in sustainable supply chain management: An inter-temporal comparison of the food and automotive industries
قابلیت های پویا در مدیریت پایدار زنجیره تأمین: مقایسه بین زمانی صنایع غذایی و خودرو-2021
This paper seeks to enrich the theoretical debate on dynamic capabilities (DCs) in sustainable supply chain management (SSCM). By extending Beske et al.’s (2014) study, a systematic literature review was conducted, and articles matching our inclusion criteria were analyzed from 2002 to 2018. Yet, two major additions are made. For the first time, two distinctive sectors, i.e., the food and automotive industry, are compared. Furthermore, a temporal perspective is provided by comparing two time periods (2002–2013 and 2014–2018) based on content as well as quantitative contingency analyses.The results for the food sector indicate a shift from “standards and certifications,” a central construct within the 2002–2013 sample, to proactive strategies aiming for the integration of stakeholders in the 2014–2018 sample. Similarly, the findings of the automotive industry indicate a shift from monitoring to joint development and knowledge management. Based on our comparison, the SSCM debate in the food industry appears more diverse in terms of practices and capabilities employed. In contrast, the analysis for the automotive industry indicates a focus on SCM elements instead of a comprehensive SSCM view. To the best of our knowledge, this is the first attempt to apply an intra- and inter-sectoral analysis combined with a temporal analysis within the SSCM domain. This provides evidence that the methodological approach taken allows distinguishing among both time periods and industries.
Keywords: Sustainable supply chain management | Dynamic capabilities | Automotive industry | Food industry
Managing complex engineering projects: What can we learn from the evolving digital footprint?
مدیریت پروژه های مهندسی پیچیده: از ردپای دیجیتالی در حال تکامل چه می توان یاد گرفت؟-2020
The accelerating pace of technical innovation, coupled with a turbulent socio-political global environment, has created opportunities and challenges for companies in terms of competitiveness and sustainability particularly the manufacturing sector. Manufacturers in the developing world struggle to create knowledge and practice-based management information systems that will allow them to operate competitively in the global market. This paper explores the integration of organizational information systems for competitive positioning, using a case study of a manufacturing company operating in Sub-Saharan Africa. Our findings suggest the need for an integrated management information system that incorporates management practices based on research, knowledge management, and organizational learning and capabilities.© 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)Peer review under the responsibility of the scientific committee of the Global Conference on Sustainable Manufacturing.
Keywords: strategic management | IT-enabling business processes | business process reengineering | knowledge management | business intelligence.
Incentive design and gamification for knowledge management
طراحی و بازی انگیزه برای مدیریت دانش-2020
Knowledge is one of the most important resources for businesses. Knowledge management systems (KMS) are implemented to guarantee an adequate handling of this resource. While innovations in Knowledge Management often focus on technical approaches or structural aspects of knowledge storing, less attention is paid to the diﬀerent aspects of human motivation and the individual willingness to knowledge sharing. The employee as sharer and receiver of knowledge, however, has to be motivated properly in order to ensure a high content quality within the KMS and appropriate handling of knowledge. Gamiﬁcation has proven to be a feasible approach to increase employee motivation. This paper, therefore, analyses the eﬀects of game mechanics on motivation and knowledge sharing behavior. In addition, advantages and risks of implementing game components in KMS are illustrated.
Keywords: Gamification | Incentive system | Knowledge management | Knowledge sharing | Motivation
Knowledge management capabilities and organizational risk-taking for business model innovation in SMEs
قابلیت های مدیریت دانش و ریسک پذیری سازمانی برای نوآوری در مدل تجاری در SME ها-2020
In today’s business environment with fast growing communication and information technologies, knowledge management (KM) capabilities are a valuable source for innovation. However, little is known about the particular KM capabilities that lead to business model innovation (BMI) and whether their effect is dependent upon the firm’s orientation towards risk-taking. We examine the impact internal and external KM capabilities have on BMI and how these effects are moderated by its risk-taking tolerance. We empirically analyze a sample of 197 small and medium-sized enterprises (SMEs) applying structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA). The results from the SEM indicate that particularly external KM capabilities stimulate BMI. This relationship is strengthened for firms with a high risk-taking tolerance. Internal knowledge is only effective for firms with a low risk-taking tolerance. The fsQCA results substantiate these findings and refine the SEM by providing particular antecedent conditions for high levels of BMI.
Keywords: Business model innovation | Knowledge management capabilities | SMEs | Risk-taking tolerance | PLS path modeling
Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review
هوش مصنوعی و مدل های تجاری در چشم انداز اهداف توسعه پایدار: یک مرور ادبیات سیستماتیک-2020
This paper investigates the literary corpus on the role of Artificial Intelligence (AI) in the construction of sustainable business models (SBMs). It provides a quantitative overview of the academic literature that constitutes the field. The paper discusses the relationships between AI and rapid developments in machine learning and sustainable development (SD). Specifically, the aim is to understand whether this branch of computer science can influence production and consumption patterns to achieve sustainable resource management according to Sustainable Development Goals (SDGs) outlined in the UN 2030 Agenda. Moreover, the paper aims to highlight the role of Knowledge Management Systems (KMS) in the cultural drift toward the spread of AI for SBMs. Despite the importance of the topic, there is no comprehensive review of the AI and SBM literature in light of SDGs. Based on a database containing 73 publications in English with publication dates from 1990 to 2019, a bibliometric analysis is conducted. The findings show that the innovation challenge involves ethical, social, economic, and legal aspects. Thus, considering that the development potential of AI is linked to the UN 2030 Agenda for SD, especially to SDG#12, our results also outline the framework of the existing literature on AI and SDGs, especially SDG#12, including AI’s association with the cultural drift (CD) in the SBMs. The paper highlights the key contributions, which are: i) a comprehensive review of the key underlying relationship between AI and SBMs, offering a holistic view as needed, ii) identifying a research gap regarding KMS through AI, and iii) the implications of AI concerning SDG#12. Academic and managerial implications are also discussed regarding KMS in the SBMs, where the AI can represent the vehicle to meet the SDGs allowing for the identification of the cultural change required by enterprises to achieve sustainable goals. Thus, business companies, academic re- search practitioners, and state policy should focus on the further development of the use of AI in SBMs.
Keywords: Artificial Intelligence (AI) | Machine learning sustainability | Cultural drift | Sustainable business models | Knowledge Management System (KMS)