Browsing by Author "Prior, Daniel D."

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    Opportunities for ethnographic methodologies in B2B service research
    (Emerald, 2019-12-19) Keränen, Joona; Prior, Daniel D.
    Purpose This paper highlights the suitability, application and fruitful opportunities for ethnographic methodologies in contemporary B2B service research. Design/methodology/approach This paper is based on a literature review and conceptual analysis of ethnographic research methodology and B2B service literatures. Findings This paper discusses the central features of ethnographic research methodologies, their key differences to other qualitative methodologies, key trends in contemporary B2B service research and opportunities for ethnographic research methodologies in selected priority areas. Research limitations/implications: This paper highlights the opportunities, unique strengths and specific advantages of ethnographic research methodologies to advance B2B service research and theory development. Practical implications: This paper encourages B2B firms to undertake ethnographic field projects to better understand customers’ roles, experiences and usage processes that relate to B2B services. Originality/value: Ethnographic research approaches have been largely overlooked or neglected in B2B service research. This paper highlights their potential, suggests areas for application and encourages B2B service researchers to adopt ethnographic approaches to delve deeper into the social and cultural aspects of B2B services
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    Sensemaking, sensegiving and absorptive capacity in complex procurements
    (Elsevier, 2018-03-18) Prior, Daniel D.; Keränen, Joona; Koskela, Sami
    This study explores and describes i) the nature of knowledge exchange processes at the frontline employee (FLE) level and ii) how FLE sensemaking processes affect buyer firm knowledge management practices in complex procurement contexts. The study utilizes an in-depth case analysis in the mining industry to identify a taxonomy of four buyer sensemaking investment/supplier collaboration profiles, to describe three sensegiving supplier roles (“confidence builders”, “competent collaborators”, and “problem-solvers”) and to explore how these evolve during complex procurement implementation. The study concludes with a conceptual model of the apparent linkages between sensemaking, sensegiving and buyer firm absorptive capacity in complex procurements. This study shows how micro-level (FLE) interactions influence macro-level knowledge integration (absorptive capacity) in the buyer firm. For managers, the study shows how the allocation of time and resources affects FLE-level knowledge exchange, with ultimate effect on buyer firm absorptive capacity.
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    Transitioning to artificial intelligence-based key account management: a critical assessment
    (Elsevier, 2025-04) Prior, Daniel D.; Marcos-Cuevas, Javier
    Research suggests that Artificial intelligence (AI) use for sales and marketing activities improves firm performance. Underpinning these AI applications are datasets that reflect large volumes of sales transactions and interactions with a broad range of customers. Conversely, key account relationships involve deep and focused engagements with a small number of strategically important customers at multiple levels, and this has important implications for AI data inputs and uses. Whether AI is appropriate or relevant to key account management (KAM) is currently unclear. In this paper, we critically evaluate AI applications for KAM. The paper highlights the amenability of a firm’s KAM capabilities to AI and evaluates the opportunities and challenges that AI-based KAM offers. The paper also outlines a set of moderating factors likely to affect the impact of AI on KAM and provides a conceptual model to better understand the potentially transformative effects of AI on KAM. The paper concludes with a set of theoretical and managerial implications of AI-based KAM and develops a comprehensive research agenda to contribute to the further exploration of AI-based KAM.