An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance

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.     

SMEs and artificial intelligence (AI): Antecedents and consequences of AI-based B2B practices

Development of small and medium enterprises (SMEs) is a key approach to achieving economic growth in the Middle East and successful adoption of technology is vital for SMEs' success and continuity. Artificial intelligence (AI) is part of a new generation of technologies that can facilitate competitive advantage but currently there is a lack of evidence regarding AI applications in relation to B2B SMEs in Middle East countries. Therefore, this study empirically examines antecedents to, and consequences of, successful acceptance of AI practices by B2B SMEs in Saudi Arabia. A conceptual model based on the technology-organisation-environment framework is developed which considers the impact of AI enablers and AI readiness on the acceptance of AI practices, and the impact of this on relational governance, performance, and SMEs' AI-based business customer interaction. The conceptual model was tested using structural equation modelling of survey data collected from B2B SMEs (n = 392). The results showed that, of the AI enablers, acceptance of AI practices was significantly influenced by both technology roadmapping and attitude but not professional expertise. Of the AI readiness variables, acceptance of AI practices was significantly influenced by infrastructure and awareness but not technicality. The acceptance of AI practices was found to significantly affect AI-enabled relational governance and performance, and SME's business customer AI-based interaction. This study provides a broader base for theoretical and practical understanding of issues related to AI practices in SMEs and the B2B sector in general.     

Facilitating artificial intelligence powered supply chain analytics through alliance management during the pandemic crises in the B2B context

The COVID-19 pandemic has disrupted global supply chains and exposed weak links in the chains far beyond what most people have witnessed in their living memory. The scale of disruption affects every nation and industry, and the sudden and dramatic changes in demand and supply that have occurred during the pandemic crisis clearly differentiate its impact from other crises. Using the dynamic capabilities view, we studied alliance management capability (AMC) and artificial intelligence (AI) driven supply chain analytics capability (AI-SCAC) as dynamic capabilities, under the moderating effect of environmental dynamism. We tested our four research hypotheses using survey data collected from the Indian auto components manufacturing industry. For data analysis we used Warp PLS 7.0 (a variance-based structural equation modelling tool). We found that alliance management capability under the mediating effect of artificial intelligence-powered supply chain analytics capability enhances the operational and financial performance of the organization. Moreover, we also observed that the alliance management capability has a significant effect on artificial intelligence-powered supply chain analytics capability under the moderating effect of environmental dynamism. The results of our study provide a nuanced understanding of the dynamic capabilities and the relational view of organization. Finally, we noted the limitations of our study and provide numerous research directions that may help answer some of the questions that arise from our study.     

Artificial intelligence as an enabler of B2B marketing: A dynamic capabilities micro-foundations approach

Over the past few decades research has predominantly focused on the technical aspects and theoretical challenges of Artificial Intelligence (AI). With the deluge of data and the increase in processing power, businesses are now facing the challenge of how to deploy AI that generates business value. In this direction, there is still nascent research on how AI can be leveraged in for B2B operations, and particularly marketing. To address this gap, this study draws on the dynamic capabilities view of the firm and specifically on the micro-foundations approach and builds on three selected case studies of large organizations in Norway that use AI for B2B marketing purposes. The study identifies a number of AI-specific micro-foundations of dynamic capabilities, essentially highlighting how organizations can use AI to manage B2B marketing operations in dynamic and uncertain environments. This study also identified several key cross-cutting elements emerging from the data, demonstrating how some key concepts are inter-related and how they affect overall business value.     

Innovation ecosystems theory revisited: The case of artificial intelligence in China

Beyond the mainstream discussion on the key role of China in the global AI landscape, the knowledge about the real performance and future perspectives of the AI ecosystem in China is still limited. This paper evaluates the status and prospects of China's AI innovation ecosystem by developing a Triple Helix framework particularized for this case. Based on an in-depth qualitative study and on interviews with experts, the analysis section summarizes the way in which the AI innovation ecosystem in China is being built, which are the key features of the three spheres of the Triple Helix -governments, industry and academic/research institutions-as well as the dynamic context of the ecosystem through the identification of main aspects related to the flows of skills, knowledge and funding and the interactions among them. Using this approach, the discussion section illustrates the specificities of the AI innovation ecosystem in China, its strengths and its gaps, and which are its prospects. Overall, this revisited ecosystem approach permits the authors to address the complexity of emerging environments of innovation to draw meaningful conclusions which are not possible with mere observation. The results show how a favourable context, the broad adoption rate and the competition for talent and capital among regional-specialized clusters are boosting the advance of AI in China, mainly in the business to customer arena. Finally, the paper highlights the challenges ahead in the current implementation of the ecosystem that will largely determine the potential global leadership of China in this domain.     

Using design thinking to respond to crises: B2B lessons from the 2020 COVID-19 pandemic

We examine the value of design thinking in times of crisis. Drawing on examples of firm innovations during the 2020 Covid-19 lockdown, we propose that disruptive events represent wicked problems that require managers to break out of established patterns of thinking. Design thinking, or the problem solving approaches and tools of designers, represents one such approach. Drawing on extant research, we identify a three-stage process of design thinking: disrupt, develop and deliver, and transform. We examine each stage, identifying how careful disruptive thinking with a focus on understanding problems within their context can give rise to innovative solutions, resulting in a more resilient organisation.     

Interactive strategy formation: Organizational and entrepreneurial factors related to effective customer information systems practices in B2B firms

Interactive marketing requires that a firm learn about its customers and remember what the customer has said to personalize communications and customize product offerings to those customers. This type of marketing requires that customer information be actively managed because information from and about the customer is the core of marketing decision-making. In-depth interviews with 17 managers in five firms identified specific organizational and entrepreneurial factors pertinent to the strategic management of customer information. The research suggests that interactive marketing require a company that can itself be interactive with its internal and external environment to create strategies that can succeed in a changing environment.One exemplary company was compared to four others to uncover organizational issues and processes leading to effective management of customer information. Using the Resource-Based View and the importance of the effective management of intangible assets as its starting point, this research illuminated the processes involved with collecting and disseminating information and highlighted the firms' struggle with issues of inter-functional conflict. Perhaps most importantly, from a strategy-formation point of view, customer-centric strategies related to customer information management were found to be developed interactively, as a dialogue between middle and upper management, using customer data and competitive trends.     

The Coronavirus crisis in B2B settings: Crisis uniqueness and managerial implications based on social exchange theory

The current Coronavirus crisis is having disastrous effects for most B2B firms around the world. The decline in sales provokes intra-organizational and inter-organizational tension, requiring a new approach for managing firms' business operations. Particularly, the direct threat to human beings places the attention of managers on the individual. This study investigates the main differences between prior “traditional” financial-based crises and the practices that managers can adopt to navigate and survive the Coronavirus crisis from a social exchange theory (SET) view. The authors identify eight crisis-comparative dimensions to consider to successfully prevail: (1) formation, (2) focus, (3) temporality, (4) government jurisdiction, (5) preparedness, (6) normality, (7) business, and (8) operational deployment. In addition, the study results propose four intertwined areas to classify the managerial practices: (1) digital transformation, (2) decision-making processes, (3) leadership, and (4) emotions and stress.     

Setting B2B digital marketing in artificial intelligence-based CRMs: A review and directions for future research

The new business challenges in the B2B sector are determined by connected ecosystems, where data-driven decision making is crucial for successful strategies. At the same time, the use of digital marketing as a communication and sales channel has led to the need and use of Customer Relationship Management (CRM) systems to correctly manage company information. The understanding of B2B traditional Marketing strategies that use CRMs that work with Artificial Intelligence (AI) has been studied, however, research focused on the understanding and application of these technologies in B2B digital marketing is scarce. To cover this gap in the literature, this study develops a literature review on the main academic contributions in this area. To visualize the outcomes of the literature review, the results are then analyzed using a statistical approach known as Multiple Correspondence Analysis (MCA) under the homogeneity analysis of variance by means of alternating least squares (HOMALS) framework programmed in the R language. The research results classify the types of CRMs and their typologies and explore the main techniques and uses of AI-based CRMs in B2B digital marketing. In addition, a discussion, directions and propositions for future research are presented.     

Harnessing artificial intelligence (AI) to increase wellbeing for all: The case for a new technology diplomacy

The field of artificial intelligence (AI) is experiencing a period of intense progress due to the consolidation of several key technological enablers. AI is already deployed widely and has a high impact on work and daily life activities. The continuation of this process will likely contribute to deep economic and social changes. To realise the tremendous benefits of AI while mitigating undesirable effects will require enlightened responses by many stakeholders. Varying national institutional, economic, political, and cultural conditions will influence how AI will affect convenience, efficiency, personalisation, privacy protection, and surveillance of citizens. Many expect that the winners of the AI development race will dominate the coming decades economically and geopolitically, potentially exacerbating tensions between countries. Moreover, nations are under pressure to protect their citizens and their interests—and even their own political stability—in the face of possible malicious or biased uses of AI. On the one hand, these different stressors and emphases in AI development and deployment among nations risk a fragmentation between world regions that threatens technology evolution and collaboration. On the other hand, some level of differentiation will likely enrich the global AI ecosystem in ways that stimulate innovation and introduce competitive checks and balances through the decentralisation of AI development. International cooperation, typically orchestrated by intergovernmental and non-governmental organisations, private sector initiatives, and by academic researchers, has improved common welfare and avoided undesirable outcomes in other technology areas. Because AI will most likely have more fundamental effects on our lives than other recent technologies, stronger forms of cooperation that address broader policy and governance challenges in addition to regulatory and technological issues may be needed. At a time of great challenges among nations, international policy coordination remains a necessary instrument to tackle the ethical, cultural, economic, and political repercussions of AI. We propose to advance the emerging concept of technology diplomacy to facilitate the global alignment of AI policy and governance and create a vibrant AI innovation system. We argue that the prevention of malicious uses of AI and the enhancement of human welfare create strong common interests across jurisdictions that require sustained efforts to develop better, mutually beneficial approaches. We hope that new technology diplomacy will facilitate the dialogues necessary to help all interested parties develop a shared understanding and coordinate efforts to utilise AI for the benefit of humanity, a task whose difficulty should not be underestimated.     

From catalog to Web: B2B multi-channel marketing strategy

The literature on catalog buying is heavily skewed to the business to consumer (B2C) area and increasingly is orientated to the multi-channel world of shopping choice, including online, catalog and store options. Previous studies have primarily been single equation explanations of catalog decisions, whereas the current study takes a hierarchical or systems approach to decision making in B2B marketing. A two-equation structural equation model (SEM) has been designed and a large sample (n = 1809) of business customers used to test the model. Price and catalog layout were seen to play a particularly important role in explaining buyer behavior. Additional multiple regression analysis was carried out to understand why purchasing agents who currently use one channel (catalog), would make use of a second, new channel (Web) in the future. The study identifies five key motivating factors for consumers in adopting a new (Web) channel for purchasing purposes. The study also identifies the switching costs that act as a barrier to adopting a Web channel.     

Decision making and uncertainty: The role of heuristics and experience in assessing a politically hazardous environment

Heuristics have long been associated with problems of bias and framing error, often on the basis of simulation and laboratory studies. In this field study of a high‐stakes strategic decision, we explore an alternative view that heuristics may serve as powerful cognitive tools that enable, rather than limit, decision making in dynamic and uncertain environments. We examine the cognitive efforts of senior decision makers of an inexperienced multinational, as they assessed a potential acquisition in a politically hazardous African country. They applied a diversity of heuristics, some with clear building block rules, to build small world representations of this very uncertain strategic context. More expert individuals drew on experiential learning to build richer representations of the political hazard environment. Copyright © 2014 John Wiley & Sons, Ltd.     

Decision making for business model development: a process study of effectuation and causation in new technology-based ventures

This study investigates the decision-making logics used by new ventures to develop their business models. In particular, they focussed on the logics of effectuation and causation and how their dynamics shape the development of business models over time. They found that the effectual decision-making logic was used dominantly to generate a viable value proposition for a specific customer segment. Causal logic is then used dominantly to define the other business model components in relation to the value proposition and customer segment. When a shortage of resources emerges, causal logic is replaced by an increase in effectual decision-making again. They concluded that before investing significant resources in a business model it was crucial for firms to reduce, as far as possible, technological and market uncertainty through effectual strategies to avoid high re-configuration costs later.     

Mind the gender gap: Inequalities in the emergent professions of artificial intelligence (AI) and data science

The emergence of new prestigious professions in data science and artificial intelligence (AI) provide a rare opportunity to explore the gendered dynamics of technical careers as they are being formed. In this paper, we contribute to the literature on gender inequality in digital work by curating and analysing a unique cross-country data set. We use innovative data science methodology to investigate the nature of work and skills in these under-researched fields. Our research finds persistent disparities in jobs, qualifications, seniority, industry, attrition and even self-confidence in these fields. We identify structural inequality in data and AI, with career trajectories of professionals differentiated by gender, reflecting the broader history of computing. Our work is original in illuminating gendering processes within elite high-tech jobs as they are being configured. Paying attention to these nascent fields is crucial if we are to ensure that women take their rightful place at forefront of technological innovation.     

Organizational intention to adopt big data in the B2B context: An integrated view

Grounded in the diffusion of innovation theory (DOI), institutional theory, configuration theory, and technology-organization-environment (TOE) framework, the study proposes a model incorporating factors in technological, organizational and environmental contexts that may influence an organization's decision to adopt big data strategies. Using survey data collected from Chinese companies, eight factors in three categories are tested utilizing a structural equation modeling (SEM) and Fuzzy-set Qualitative Comparative Analysis (fsQCA). The empirical results show that the factors relative advantage, technological competence, technology resources, support from top management, competitive pressure, and the regulatory environment all have a significant impact on the organizational adoption of big data. These findings contribute to the development of a better understanding of precisely how the big data diffusion process across industries functions in B2B practice.     

B2B sales force productivity: applications of revenue management strategies to sales management

Firms should be able to apply the time-based philosophy of revenue management to their sales forces. To do so requires a revision in the way most sales divisions traditionally have viewed salesperson time. Hence, a different type of proposed measure, revenue per available salesperson hour, is proposed to better integrate the value of the salesperson's time as a factor in sales potential and revenue calculation. This article seeks to (1) foster a positive perception of revenue management as a viable sales approach, (2) establish a framework for such a strategy, and (3) set a useful road map for facilitating execution.     

Social media: Influencing customer satisfaction in B2B sales

Social media have changed how buyers and sellers interact, and increased involvement through social media may yield positive results for sales organizations if salespeople utilize it in facilitating their behaviors. Through the perspective of value creation, we test the mediating effects of salesperson information communication behaviors between social media use and customer satisfaction. Using salesperson-reported data, within a B2B context, we empirically test a model using structural equation modeling. Salesperson's use of social media is found to impact information communication behaviors, which enhance salesperson responsiveness and customer satisfaction. Also, salesperson responsiveness is found to have a positive relationship with customer satisfaction. Findings suggest that social media plays an important role in communicating information to customers, but as an antecedent enhancing salesperson behaviors to increase customer satisfaction rather than a direct factor. This encourages managers to carefully assess goals related to social media use of their sales force.     

Consumer involvement in supply networks: A cubic typology of C2B2C and C2B2B business models

Business models such as C2B and B2B2C, in which consumers get involved in companies' supply chains and business operations, are burgeoning in many industries. Academic research on the phenomenon is, however, lagging behind, and extant research has typically focused on just one or a few variants of such business models at a time. The present conceptual research addresses this research gap by developing a comprehensive typology that explicates and unpacks the full variety of consumer involvement types in supply networks of contemporary business models. The three-dimensional typology developed contributes to literature by identifying and integrating the relevant dimensions, which have been addressed in prior research only implicitly or in a piecemeal manner. This elucidates the full range and variety of the phenomenon to researchers. For managers, the three-dimensional, cubic typology offers a business development tool, facilitating the identification of altogether 56 alternative business models, wherein consumers may serve as suppliers of various inputs, including work, effort, and entrepreneurial activity; goods; platform goods; natural resources and energy; data, information, and knowledge; attention and presence; as well as money and capital.     

A literature review and future agenda for B2B branding: Challenges of branding in a B2B context

The existing body of research knowledge on brand management has been predominantly derived from business-to-consumer markets, particularly fast moving consumer goods and has only recently started to expand in other contexts. Branding in business-to-business markets has received comparatively little attention in the academic literature due to a belief that industrial buyers are unaffected by the emotional values corresponding to brands. This paper provides a critical discussion of the fragmented literature on business-to-business branding which is organized in five themes: B2B branding benefits; the role of B2B brands in the decision making process; B2B brand architecture; B2B brands as communication enablers and relationship builders; and industrial brand equity. Drawing on the gaps and contradictions in the literature the paper concludes by proposing an agenda for future research.