Interdisciplinarily Exploring the Most Potential IoT Technology Determinants in the Omnichannel E-Commerce Purchasing Decision-Making Processes

Abstract

This research has interdisciplinarily employed the “SoLoMo” concept of Intern of Things (IoT) technology, Social Cognitive Theory and the Technological Acceptance Model (TAM) into the hierarchical Analytical Network Process (ANP) model of qualitative analysis in order to concretively construct the most comprehensive IoT technology model in the purchasing decision-making process of the omnichannel e-commerce model. Statistically, this research not only employed the Factor Analysis (FA) approach of quantitative analysis for systematically assaying the data results from the dispensation of large-scale questionnaires to refine the commonality of each sub-criterion with higher research representativeness and validity but it also applied the Fuzzy Set Theory (FST) and Grey Relation Analysis (GRA) methods of qualitative analyses for in-depth analytically evaluate the data results from the operation of expert’s questionnaires to refine the measured consequences of the ANP model with higher research accuracy and reliability. Conclusively, the “Purchasing Original Intentions” has been the most critical purchasing factors in the omnichannel e-commerce purchasing decision-making processes which means current omnichannel e-commerce consumers have commenced to firstly and rationally think over before making purchasing decisions and actions without any irrational consumptions. Conclusively, “Purchasing Importance-Purchasing Importance (PI)”, “Purchasing Financial Status-Purchasing Financial Status (PFS)” and “Purchaser’s Personality-Purchaser’s Personality (PP)” were the most potential IoT technology determinants in the omnichannel e-commerce purchasing decision-making processes because (1) omnichannel e-commerce consumers have been rationally focused on what they demand without traditional emotional purchasing consumptions, (2) omnichannel e-commerce consumers have rationally considered their financial resources without impulsive purchasing consumptions and (3) omnichannel e-commerce consumers have rationally respected their personal characteristics and individual value without blindly purchasing consumptions.

Webrooming or showrooming, that is the question: explaining omnichannel behavioural intention through the technology acceptance model and exploratory behaviour

“…The results confirmed the validity of the TAM (and its causal relationships) to explain webrooming and showrooming. The results were consistent with previous research on ecommerce adoption in general (Brusch and Rappel, 2020; Hsieh, 2020), while providing new insights into the scarce and contradictory evidence available to date in relation to webrooming and showrooming. In contrast with Arora and Sahney (2018, 2019) the findings confirmed the direct influence of perceived usefulness and ease-of-use on behavioural intentions in webrooming and showrooming, without the mediating effect of attitudes.…”

“…The TAM has been the most widely applied model in research on information systems (Blut and Wang, 2020) and, in particular, e-commerce (Brusch and Rappel, 2020; Hsieh, 2020), and is in force in scientific research. In general, previous studies have supported the main relationships postulated in the theoretical model in the field of e-commerce behaviours.…”

Preliminary Research on the Sustainable Determinants of Taiwanese Ecotourism with the International Standards

“…Theoretically, the five briefest identified categories in the SLT core principles are sorted into the interconnections among individuals (individualism), organizations (organizationism), and society (socializationism) [ 36 ]. These briefly identified categories include (1) social approval (SA): the entire society directly responds, cognizes, and further supports and influences each individual attitude, behavior, and action as well as the organizational development [ 37 ]; (2) social reinforcement (SR): the majority of persons and organizations aggressively desire to be identified through a series of studying and learning the professional social skills to deal with a bulk of behavioral norms and organizational differences with reference to public acceptance and approval; (3) social exchange (SE): each individual follows the operational conditioning principles which means the interactions among the individuals, organization, and entire society are decided by the behavioral results through the social identity [ 38 ]. The interactions will continue if the individual behavioral results and organizational development are positive; the interactions will stop if the behavioral results and organizational development are negative [ 39 ]; (4) social categorization (SCA): the individuals are classified by their personality and characteristics into their belonging groups (organizations) and then, the individuals are further defined by their social categorization [ 40 ]; and (5) social comparison (SCP): the individuals compare their belonging group (organizations) with other groups (organizations) in terms of the group’s prestige and social standing to obtain higher self-esteem; significantly, in-belonging groups (organizations) will not compare themselves with just any out-groups because the SC must be relative to each situation and condition.…”

Leveraging technology adoption to navigate the 4IR towards a future‐ready business: A systematic literature review

“…This is achieved by ensuring clear communication, fairness and alignment to its vision. 19,74 (1) Organizations with strong top management support are more likely to successfully adopt smart 4IR technologies.…”