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نتیجه جستجو - B2b

تعداد مقالات یافته شده: 43
ردیف عنوان نوع
1 Role of big data and social media analytics for business to business sustainability_ A participatory web context
Role of big data and social media analytics for business to business sustainability_ A participatory web context-2020
The digital transformation is an accumulation of various digital advancements, such as the transformation of the web phenomenon. The participatory web that allows for active user engagement and gather intelligence has been widely recognised as a value add tool by organisations of all shapes and sizes to improve business productivity and efficiency. However, its ability to facilitate sustainable business-to-business (B2B) activities has lacked focus in the business and management literature to date. This qualitative research is exploratory in nature and fills this gap through findings arising from interviews of managers and by developing taxonomies that highlight the capability of participatory web over passive web to enable different firms to engage in business operations. For this purpose, two important interrelated functions of business i.e. operations and marketing have been mapped against three dimensions of sustainability. Consequently, this research demonstrates the ability of big data and social media analytics within a participatory web environment to enable B2B organisations to become profitable and remain sustainable through strategic operations and marketing related business activities. The research findings will be useful for both academics and managers who are interested in understanding and further developing the business use of participatory web tools to achieve business sustainability. Hence, this may be considered as a distinct way of attaining sustainability.
Keywords: Participatory web | Marketing and operations | Big data | Social media analytics | Business sustainability | Business-to-business (B2B)
مقاله انگلیسی
2 Characterizing customer experience management in business markets
توصیف مدیریت تجربه مشتری در بازارهای تجاری-2020
Managing the customer experience has become a top priority for marketing managers and researchers. Research on customer experience management (CEM) has traditionally adopted a customer’s viewpoint. Few studies have explicitly embraced an organizational perspective, and existing research focuses mainly on business-to-consumer settings. The present study espouses the utility of CEM in business-to-business (B2B) settings on the grounds that interactions in B2B contexts are also “experienced”. It explains how B2B firms can design and manage the customer experience to influence the customer at different touchpoints. The paper develops a comprehensive framework that characterizes CEM in B2B. The paper articulates key challenges for B2B CEM; relationship expectations (mismatches in customer relationships, siloed customer experiences); actor interaction issues (mis- matches across the customer’s journey, lack of touchpoint control); and temporal challenges (dynamics of the customer experience). The paper draws out the theoretical implications and develops managerial implications for B2B firms.
Keywords: Customer experience management | Customer journey | Market strategy | B2B | Touchpoint
مقاله انگلیسی
3 Disconnect in trade show staffing: A comparison of exhibitor emphasis and attendee prefere
قطع ارتباط در کارکنان نمایشگاه های تجاری: مقایسه تأکید غرفه داران و ترجیح شرکت کنندگان-2020
This research explores how and whether staffing at trade shows by exhibitors is consistent with attendee preferences for staffing in this channel. Using secondary data from 9215 attendees and 885 exhibitors, we observe that relative to attendee preferences, exhibitors significantly understaff with technical personnel, while overstaffing with executive/upper management and sales/marketing personnel. Additional comparisons between attendees who are decision-makers vs. influencers in the purchase process, between attendees from different kinds of firms (B2B vs. B2C, large vs. small firms) and between attendees to trade shows that differ in geographic scope suggest that substantial inconsistencies persist between preferences of attendees and staffing by exhibitors.
Keywords: Trade shows | Exhibitions | Business-to-business marketing | B2B Marketing | Promotions
مقاله انگلیسی
4 Fostering B2B sales with customer big data analytics
تقویت فروش B2B با تجزیه و تحلیل داده های بزرگ مشتری-2020
This study focuses on the use of big data analytics in managing B2B customer relationships and examines the effects of big data analytics on customer relationship performance and sales growth using a multi-industry dataset from 417 B2B firms. The study also examines whether analytics culture within a firm moderates these effects. The study finds that the use of customer big data significantly fosters sales growth (i.e. monetary performance outcomes) and enhances the customer relationship performance (non-monetary performance outcomes). However, the latter effect is stronger for firms which have an analytics culture which supports marketing analytics, whereas the former effect remains unchanged regardless of the analytics culture. The study empirically confirms that customer big data analytics improves customer relationship performance and sales growth in B2B firms.
Keywords: Big data analytics | Customer analytics | Marketing analytics | Firm performance | Customer relationship management | Big data-enhanced database marketing
مقاله انگلیسی
5 Big data analytics for supply chain relationship in banking
تجزیه و تحلیل داده های بزرگ برای رابطه زنجیره تأمین در بانکداری-2020
This paper reports how a commercial bank in Asia uses big data analytic as a tool to explore the internal B2B data to improve supply chain finance and the efficiency of marketing tactics and campaigns. A case study was conducted by analyzing two types of supply chain relationships: (1) supply chain relationships in the credit reports; (2) e-wiring transactions among supply chain companies. The results show that big data analytics is very useful in terms of improving the commercial banks marketing and risk management performances. The case study also set a good example for B2B firms seeking to understand how they could leverage big data analytics to differentiate customer solutions, sustain profitability and generate new business values. Theorical and practical implications are also discussed.
Keywords: Supply chain finance | B2B analytics
مقاله انگلیسی
6 Role of big data and social media analytics for business to business sustainability: A participatory web context
نقش تجزیه و تحلیل داده های بزرگ و رسانه های اجتماعی برای پایداری تجارت از مشاغل: زمینه وب مشارکتی-2020
The digital transformation is an accumulation of various digital advancements, such as the transformation of the web phenomenon. The participatory web that allows for active user engagement and gather intelligence has been widely recognised as a value add tool by organisations of all shapes and sizes to improve business productivity and efficiency. However, its ability to facilitate sustainable business-to-business (B2B) activities has lacked focus in the business and management literature to date. This qualitative research is exploratory in nature and fills this gap through findings arising from interviews of managers and by developing taxonomies that highlight the capability of participatory web over passive web to enable different firms to engage in business operations. For this purpose, two important interrelated functions of business i.e. operations and marketing have been mapped against three dimensions of sustainability. Consequently, this research demonstrates the ability of big data and social media analytics within a participatory web environment to enable B2B organisations to become profitable and remain sustainable through strategic operations and marketing related business activities. The research findings will be useful for both academics and managers who are interested in understanding and further developing the business use of participatory web tools to achieve business sustainability. Hence, this may be considered as a distinct way of attaining sustainability.
Keywords: Participatory web | Marketing and operations | Big data | Social media analytics | Business sustainability | Business-to-business (B2B)
مقاله انگلیسی
7 The praxis of studying interorganizational practices in B2B marketing and purchasing : A critical literature review
اهداف مطالعه شیوه های بین سازمانی در بازاریابی و خرید B2B: بررسی ادبیات انتقادی-2020
Practice has developed into a key concept in management research, including B2B marketing and purchasing studies. However, the adoption of the term in B2B marketing and purchasing is characterized by some difficulties. Research on B2B practices is growing, but seems marked by fragmentation, inconsistency, and lack of precision among others. Without conceptual consistency and integrity, B2B practice studies are at risk of becoming derailed, compromising the developments of future theory and practice within B2B. In this critical review paper, we therefore seek to create an overview of B2B practice research as perceived through a practice lens. Based on a review of 116 identified practice papers from key B2B journals, we map the topic areas where the practice concept has been applied for investigations, and we also investigate how well the applied practice conceptualization in these papers align with a recognized practice theory conceptualization. We find that the majority of B2B studies align poorly with the three elements of practice: managerial action, habitual behavior, and action-structure duality. Since many of the alignment issues in the review are caused by methodological problems, we propose a series of methodological tools that can provide a more accurate understanding of B2B practices in future research.
Keywords: Practice | Managerial action | B2B marketing and purchasing | Interorganizational | Review paper
مقاله انگلیسی
8 Effectual and causal reasoning in the adoption of marketing automation
استدلال اثربخش و علیتی در اتخاذ اتوماسیون بازاریابی-2020
Research on technology adoption in organizations traditionally assumes that these organizations follow rational, strategic and planned adoption processes. However, a gradually emerging view is that the adoption of technology is also characterized by entrepreneurial or effectual reasoning, primarily due to technological and market uncertainties that call for more agile and experimental approaches at the digital age. Drawing on effectuation theory, we develop a research framework to examine the managerial reasoning during the adoption of marketing automation technology. Based on the results of a comparative multiple-case study on four large-sized industrial firms, we develop a maturity model of marketing automation adoption and show that even large-sized B2B companies apply effectual reasoning, which problematizes the rationality assumption in the technology adoption literature. Second, we show that during the adoption process, organizations dominant reasoning mode follows an iterative pattern in which the adopting organization moves back and forth between effectuation and causation. Finally, we identify five key domains of marketing automation (customer knowledge, information systems infrastructure, analytics, interdepartmental dynamics and change management) and describe their gradual evolution at different stages of the adoption process.
Keywords: Agile implementation | Business-to-business (B2B) marketing | Case study | Effectuation | Marketing automation | Technology adoption
مقاله انگلیسی
9 Analytics in the era of big data: The digital transformations and value creation in industrial marketing
تجزیه و تحلیل در عصر داده های بزرگ: تحولات دیجیتال و ایجاد ارزش در بازاریابی صنعتی-2020
Big data analytics has been a topical area in the past decade. Despite it is emphased as a promising tool for the B2B sectors, there is a short of academic studies about this phenomenon in the industrial markets. Existing big data analytics focuses more on the consumers marketing aspect, while in fact both the consumers data and the machine-generated transaction data can be gathered and analysed at the interorganisational level. Subsequently, there is a need to increase the attention on the B2B aspects of big data analytics and the interactions of stakeholders. This paper, therefore, investigates the digital transformation enabled by big data analytics in the industrial markets and provides a conceptual framework. It solicits research articles that provide insights into various industrial contexts of this topic and applied both qualitative and quantitative approaches to identify the big data gathering and applications for value creation.
Keywords: Big data | B2B analytics | Digital transformations | Management revolution | Value creation
مقاله انگلیسی
10 Artificial intelligence (AI) and value co-creation in B2B sales: Activities, actors and resources
هوش مصنوعی و ایجاد ارزش در فروش B2B: فعالیت ها ، بازیگران و منابع-2020
Continuous advances in information technologies, such as Artificial intelligence (AI), are opening up new and exciting opportunities for value co-creation between economic actors. However, little is known about the mechanisms and the process of value co-creation enabled by AI. While scholars agree that AI tech- nology significantly changes human activities and human resources, currently we do not have an ade- quate understanding of how humans and AI technology interact in value co-creation. This is the central phenomenon investigated in this article. Specifically, using Service-Dominant Logic (S-DL) as a lens, this study investigates the activities, roles and resources that are exchanged in AI-enabled value co-creation, using the creation of competitive intelligence as a research context. The analysis suggests that AI-enabled value co-creation processes are complex interactions between human and non-human actors who per- form any of six different roles either jointly or independently. This article contributes to SD-L and pro- vides a deeper understanding of the activities (the ‘how’), the actors (the ‘who’), and the resources (the ‘what’) in AI-enabled value co-creation, thus helping to close an identified gap in the literature.
Keywords: Artificial intelligence | Value c o-creation | Service-dominant logic | Competitive intelligence | Machine learning | B2B marketing, B2B sales resources | Operant resources | Operand resources
مقاله انگلیسی
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