با سلام خدمت کاربران عزیز، به اطلاع می رساند ترجمه مقالاتی که سال انتشار آن ها زیر 2008 می باشد رایگان بوده و میتوانید با وارد شدن در صفحه جزییات مقاله به رایگان ترجمه را دانلود نمایید.
Influence of new-age technologies on marketing: A research agenda
تأثیر فن آوری های عصر جدید بر بازاریابی: یک برنامه تحقیقاتی-2020
This study focuses on four key new-age technologies – the Internet of Things, Artificial Intelligence, Machine Learning, and Blockchain – and their respective roles in marketing. Specifically, the study examines each of these four technologies in depth, to understand their key elements, the domains in which they operate, and current use cases pertaining to these technologies. The adoption of these new-age technologies is expected to have an impact on the outcomes for firms and customers. However, these are dynamically evolving technologies that have not yet been completely explored and whose full potential has yet to be uncovered. This study presents some research questions that are pertinent to key entities (firms, customers, intermediaries, developers, and regulators), and which merit deeper investigation in the future. This study also highlights major areas that need managerial focus in the adoption of these new-age technologies.
Keywords: Internet of things | Artificial intelligence | Machine learning | Blockchain | Marketing strategy | Customer relationship management
Antisocial entrepreneurship: Conceptual foundations and a research agenda
کارآفرینی ضد اجتماعی: مبانی مفهومی و یک برنامه تحقیقاتی-2019
Whereas social entrepreneurship has been extensively studied, its antipode—antisocial entrepreneurship— is all but neglected in the literature. This article identifies and elucidates this glaring conceptual and research gap; it provides a conceptual foundation for making sense of antisocial entrepreneurship, demonstrating how it is distinct from related constructs such as illegal and destructive entrepreneurship; and it suggests an agenda for future research on antisocial entrepreneurship. Through studying antisocial entrepreneurship, a broader spectrum of entrepreneurial intentions, actions and outcomes becomes visible, potentially furthering our understanding, not only of antisocial entrepreneurship, but also of other, more commonly studied, facets of entrepreneurship.
Keywords: Antisocial entrepreneurship | Motivation | Research agenda | Social entrepreneurship | Value appropriation
Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda
هوش مصنوعی برای تصمیم گیری در عصر داده های بزرگ - تکامل ، چالش ها و دستور کار تحقیق-2019
Artificial intelligence (AI) has been in existence for over six decades and has experienced AI winters and springs. The rise of super computing power and Big Data technologies appear to have empowered AI in recent years. The new generation of AI is rapidly expanding and has again become an attractive topic for research. This paper aims to identify the challenges associated with the use and impact of revitalised AI based systems for decision making and offer a set of research propositions for information systems (IS) researchers. The paper first provides a view of the history of AI through the relevant papers published in the International Journal of Information Management (IJIM). It then discusses AI for decision making in general and the specific issues regarding the interaction and integration of AI to support or replace human decision makers in particular. To advance research on the use of AI for decision making in the era of Big Data, the paper offers twelve research propositions for IS researchers in terms of conceptual and theoretical development, AI technology-human interaction, and AI implementation.
Keywords: Artificial intelligence | AI | Big data | Cognitive computing | Decision making | Expert system | Machine learning | Recommender system | Research agenda
Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
هوش مصنوعی (AI): چشم اندازهای چند رشته ای در مورد چالش ها ، فرصت ها و دستور کار برای تحقیق ، تمرین و سیاست های نوظهور-2019
As far back as the industrial revolution, significant development in technical innovation has succeeded in transforming numerous manual tasks and processes that had been in existence for decades where humans had reached the limits of physical capacity. Artificial Intelligence (AI) offers this same transformative potential for the augmentation and potential replacement of human tasks and activities within a wide range of industrial, intellectual and social applications. The pace of change for this new AI technological age is staggering, with new breakthroughs in algorithmic machine learning and autonomous decision-making, engendering new opportunities for continued innovation. The impact of AI could be significant, with industries ranging from: finance, healthcare, manufacturing, retail, supply chain, logistics and utilities, all potentially disrupted by the onset of AI technologies. The study brings together the collective insight from a number of leading expert contributors to highlight the significant opportunities, realistic assessment of impact, challenges and potential research agenda posed by the rapid emergence of AI within a number of domains: business and management, government, public sector, and science and technology. This research offers significant and timely insight to AI technology and its impact on the future of industry and society in general, whilst recognising the societal and industrial influence on pace and direction of AI development.
Keywords: Artificial intelligence | AI | Cognitive computing | Expert systems | Machine learning | Research agenda
The role of inspiration in entrepreneurship: Theory and the future research agenda
نقش الهام بخش در کارآفرینی: نظریه و برنامه تحقیق آینده-2019
The role of entrepreneurial inspiration has largely been overlooked in the entrepreneurship literature. Recent findings in the psychology literature indicate that inspiration plays a key role in creative processes and may have significant transformative effects on cognition, affect, and behavior. The objective of this study is to define the construct, review the literature, and propose a theory for understanding the role of inspiration in entrepreneurship. We show that our theory can answer unresolved questions in entrepreneurship.
Keywords: Inspiration | Entrepreneurship | Start-up | Motivation | Affect | Creativity | Cognition
Deep learning in business analytics and operations research: Models, applications and managerial implications
یادگیری عمیق در تجزیه و تحلیل کسب و کار و تحقیقات عملیات: مدل ها ، برنامه ها و پیامدهای مدیریتی-2019
Business analytics refers to methods and practices that create value through data for individuals, firms, and organizations. This field is currently experiencing a radical shift due to the advent of deep learning: deep neural networks promise improvements in prediction performance as compared to models from traditional machine learning. However, our research into the existing body of literature reveals a scarcity of research works utilizing deep learning in our discipline. Accordingly, the objectives of this overview article are as follows: (1) we review research on deep learning for business analytics from an operational point of view. (2) We motivate why researchers and practitioners from business analytics should utilize deep neural networks and review potential use cases, necessary requirements, and benefits. (3) We inves- tigate the added value to operations research in different case studies with real data from entrepreneurial undertakings. All such cases demonstrate improvements in operational performance over traditional ma- chine learning and thus direct value gains. (4) We provide guidelines and implications for researchers, managers and practitioners in operations research who want to advance their capabilities for business an- alytics with regard to deep learning. (5) Our computational experiments find that default, out-of-the-box architectures are often suboptimal and thus highlight the value of customized architectures by proposing a novel deep-embedded network.
Keywords: Analytics | Deep learning | Deep neural networks | Managerial implications | Research agenda
Social media applications and emergency management: A literature review and research agenda
برنامه های کاربردی رسانه های اجتماعی و مدیریت اضطراری: بررسی ادبیات و برنامه تحقیقاتی-2018
Social media applications have proven to be a dependable communication channel even when traditional methods fail. Their application to emergency management offers new benefits to the domain. For instance, analysis of information as the event unfolds may increase situational awareness, news and alerts may reach larger audiences in less time and decision makers may monitor public activities as well as coordinate with stakeholders. With such benefits, it seems the adoption of social media applications to emergency management should be automatic. However, their implementation introduces risks as well. To better understand the benefits and challenges, a review and analysis of the literature regarding the application of social media to emergency management was conducted. Identified research gaps were mapped into social and technological challenges. These challenges were then analyzed to set research directions for practitioners and researchers.
Keywords: Social media ، Emergency management ، Socio-technical challenges ، Complex systems
Towards a research program in Kantian positive psychology
به سوی یک برنامه تحقیقاتی در روانشناسی مثبت کانتی-2017
In recent years, Kantians have begun to take up the challenge of responding to philosophical appropriations of empirical psychol ogy that seem to undermine key claims in Kant’s moral theory. In particular, Pauline Kleingeld (2014, 2015) and Patrick Frierson (2010, 2013, forthcoming) have, in different ways, responded to situationist critiques of the possibility of character. While not from a specifically Kantian perspective, Selim Berker (2009) has responded to Joshua Greene’s now famous article entitled “The Secret Joke of Kant’s Soul,” (2008), in which Greene uses contem porary neuroscience to argue that we should prefer our conse quentialist moral reasoning to our deontological moral intuitions. In addition, there has been a steady increase of attention to what Robert Louden famously called “Kant’s Impure Ethics” (Louden 2000). In the context of this focus on empirically informed fea tures of Kant’s philosophy, there has been some attention to working out the ways that Kant saw his empirical science of human behavior e “pragmatic anthropology” e as different both from other eighteenth century approaches to empirical psychology and from other sciences within Kant’s system (see especially Sturm, 2009; Cohen, 2009). So far, however, there has been little recent attention to thinking through what it would mean to carry out a Kantian research program in psychology today. In this paper, I use a brief summary of how Kant might respond to situationist research in psychology as a springboard for discussing problems and pro posals for developing a distinctively Kantian research program in empirical psychology.
Enterprise social networks: A literature review and research agenda
شبکه های اجتماعی سازمانی: مرور ادبی و برنامه تحقیقاتی-2017
Enterprise Social Networks (ESNs) have been receiving increasingly more attention in academia and prac tice over the past years. ESNs are implemented to improve collaboration among employees and to fos ter knowledge management by capturing tacit knowledge, among other reasons. However, ESNs do not always fulfill the companies’ expectations and consequently companies question their investment. Due to the growing popularity of ESNs in practice and the still unanswered questions of how to ultimately achieve ESN success, a growing number of researchers have started to analyze the ESN phenomenon, leading to a steadily growing number of publications in a variety of outlets. However, research groups are not in accordance yet on what terminology to use for the given phenomenon. This shows that the young research field of ESNs is still in development. To support future research and practice, we perform a literature review to answer three research questions: first, we analyze which terms for the phenomenon of ESNs were used and which term tends to be accepted by the community recently. Second, we analyze ESN publications regarding the addressed topics to provide a state-of-the-art in regard to ESN research. We elaborate a framework using the dimensions ESN implementation status and focus of investigation to structure the publications and to provide a comprehensive overview of the research topics. Third, we identify areas of future research on the basis of the current publications and trending topics.
Keywords: Enterprise social network | Esn | Framework | Topic analysis
Buddhist psychology: Selected insights, benefits, and research agenda for consumer psychology
روانشناسی بودایی: بینش انتخاب ، منافع و برنامه تحقیقاتی برای روانشناسی مصرف کننده -2017
Consumer psychology has been overly reliant on a small set of paradigms. As a result, the field appears less prepared than it could aspire to be for contributing new knowledge on, and relief from, our hyper-consumption era. Accordingly, I explore Buddhist psychology by drawing from its foundational framework known as the Three Marks of Existence (suffering, impermanence, and no-self) to introduce an Eastern theory of mind and provide alternative guidance on research for consumer well-being. The TME framework offers an opportunity to re-think the priorities, nature, and processes of the comparing and judging consumer mind (e.g., expectations, preferences, satisfaction); the attaching and depending consumer mind (e.g., ownership, materialism, excessive behaviors); and the deciding, choosing, and regulating consumer mind (marketplace morality, cognitive biases, values-based choice, and free will). From these considerations I generate research questions and summarizing propositions for future research. The closing discussion synopsizes the contributions and limitations, including extra opportunities for integrating Buddhist and consumer psychologies.
Keywords: Buddhist psychology | Well-being | Satisfaction | Ownership | Materialism | Choice