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The purpose of this paper is to investigate how information and communication technology (ICT) impacts firm performance, by changing the information processing ability of a firm.

It takes the firm as information processing unit to coordinate production in an industry with two‐stage production and demand uncertainty. ICT is assumed to improve the information processing ability. It models that, conditional on the structure of markets described by level of uncertainty, a firm with information processing ability comes into being endogenously from market‐coordinated production, with profit generated.

It is argued that the profit of the firm depends on both the structure of markets, and the firm's information processing ability. The improving information processing ability increases firm profitability as long as market‐coordinated production persists elsewhere. However, when the improving information processing ability enables enough firms to compete with no market‐coordinated production left, it decreases profitability of all firms. Finally, case studies on the wholesale and retail industry and the finance and insurance industry of ten OECD countries presents consistent evidence that ICT does not necessarily bring better performance.

This paper is an innovation based on several streams of literature to model a firm with the consideration of specialization, demand uncertainty, and information processing ability. It thus provides a different perspective on how ICT contributes to firm performance. It theoretically and empirically shows that such contributions are conditional on market structure of a certain industry.

Under the digital wave and the new industrial competition pattern, the automobile industry is facing multiple challenges such as the redefinition of new technologies and supply chain changes. The purpose of this study is to link big data analytics and artificial intelligence (BDA-AI) with digital supply chain transformation (DSCT) by taking Chinese automobile industry firms as a sample and to consider the role of supply chain internal integration (SCII), supply chain external integration (SCEI) and supply chain agility (SCA) between them.

Data were collected from 192 Chinese firms in the automotive industry and analyzed using partial least squares structural equation modeling (PLS-SEM). Importance-performance map analysis is used to extend the standard results reporting of path coefficient estimates in PLS-SEM.

The results indicate that BDA-AI, SCII, SCEI and SCA positively influence DSCT. In addition, this study found that SCII, SCEI and SCA play an intermediary role in BDA-AI and DSCT.

The paper enriches the research on the mechanism of digital resources affecting DSCT and expands the research of organizational information processing theory in the context of digital transformation. The paper explores how the resources deployed by firms change the strategic measures of firms from the perspective of responsiveness. By exploring the positive impact of SCA as a response capability on the DSCT strategy and its intermediary role between digital resources and DSCT, which is helpful to the further theoretical development of logistics and supply chain disciplines.

The purpose of this paper is to present an extended version of the Elaboration Likelihood Model (ELM‐model) to explain and predict which of the four cognitive processes that are distinguished in the literature, with respect to Country of Origin (CoO), can be expected to occur: the halo‐effect, the summary construct‐effect, the product attribute‐effect or the default heuristic‐effect.

Contrary to most of the previous theoretically‐oriented work on cognitive CoO‐effects, the epistemological background of the CoO‐ELM model proposed in this paper is of an inductive nature with theoretical propositions being derived from empirical data already gathered in the existing studies.

The outcome of this paper is a flow chart model leading to a set of theoretical propositions on which cognitive CoO‐effects can be expected to occur under different situational contexts.

This paper only focuses on the explanation of cognitive CoO‐effects, not on affective or conative/normative effects. Also, the CoO‐ELM model applies only to the processing of consumers' prior knowledge about a country's products and not about the country itself. Finally, the CoO‐ELM model still needs to be subjected to empirical verification. An important implication of this paper is that the CoO‐ELM framework makes the bulk of empirical data become more transparent given the four effects of cognitive CoO‐processes.

The CoO‐ELM model provides marketing practitioners with an easy and practical tool for the management of CoO‐cues.

This paper is the first attempt trying to catch all the cognitive CoO‐effects previously identified within a theoretically solid framework.

The purpose of this study is to review scholarly research on elderly consumers’ information processing and suggest implications for services marketing.

The review encompasses a five-decade period (1970–2018) of academic research and presents relevant literature in four main areas related to information processing: sensation, attention, interpretation and memory.

The study illustrates how each of the aforementioned phases of the information processing activity may affect how elderly individuals buy and consume products and services, emphasizing the need for a better comprehension of the elderly to develop effectual marketing strategies.

The study provides readers with detailed state-of-the-art knowledge about older consumers’ information processing, offering a comprehensive review of academic research that companies can use to improve the effectiveness of their marketing efforts that target the elderly market.

Extant strategic management literature provides only partial answers to the important question: what variables affect top managers′ ability to process complicated, novel, ambiguous, or dynamic strategic information in a turbulent environment? Drawing on cognitive psychology, personality theory, management theory, organizational theory, and management information systems literature, proposes that nine personal attributes and four contextual attributes affect top managers′ information‐processing capability. The nine personal attributes are: cognitive complexity, knowledge, mental model of success, openmindedness, time orientation, personal values, tolerance for ambiguity, locus of control, and time devoted to environmental scanning. The four contextual attributes are: rewards and incentives, culture, structure of strategic planning process, and executive support systems. Thirteen propositions are postulated regarding the types of attributes that are conducive for top managers′ ability in processing complicated, novel, ambiguous, or dynamic information.

Nowadays some consumers consider themselves as “omnichannels” – they combine both physical and digital channels expecting a seamless shopping experience – since they view their shopping process from a multiple-channel viewpoint. Giving that situation, the aim of this paper is to test the role of consumers’ omnichannel tendency (omni-tendency) in the information processing in the digital channel.

Based on the Elaboration Likelihood Model (ELM), emotions as well as utilitarian and hedonic experiences are proposed to understand consumer attitude towards the digital store. Through a survey, data were collected from 284 digital shoppers. PLS path modelling and PLS-MGA were used to test the research hypotheses.

The results confirm that emotions positively affect the evaluation of the experiences, which in turn improves the attitude towards the digital store. Focusing on the differences among consumers, the findings show that for consumers with low omni-tendency the emotions are key to improve the evaluation of their experiences. Moreover, regarding the attitude, consumers with more omni-tendency follow the central route to process the information; and consumers with less omni-tendency follow the peripheral route.

This paper contributes to the literature in three ways. First, this research includes the study of omni-tendency, as a consumer trait, in the information processing developed in the digital channel, ignored in the literature. Second, this work contributes to information processing theories in digital context confirming, specifically the applicability of ELM into the omnichannel context. This offers support to the application of traditional theories to explain new phenomena. Third, and in line with the previous contribution, this work goes a step further in understanding ELM theory by including other constructs –the omni-tendency and emotions– to explain the information processing in the digital context.

The purpose of this paper is to investigate the mediators that occupy the gap between information processing theory and supply chain agility. In today’s Mach speed business environment, managers often install new technology and expect an agile supply chain when they press<Enter>. This study reveals the naivety of such an approach, which has allowed new technology to be governed by old processes.

This work takes a qualitative approach to the dynamic conditions surrounding information processing and its connection to supply chain agility through the assessment of 60 exemplar cases. The situational conditions that have created the divide between information processing and supply chain agility are studied.

The agility adaptation typology (AAT) defining three types of adaptations and their mediating constructs is presented. Type 1: information processing, is generally an exercise in synchronization that can be used to support assimilation. Type 2: demand sensing, is where companies are able to incorporate real-time data into everyday processes to better understand demand and move toward a real-time environment. Type 3: supply chain agility, requires fundamentally new thinking in the areas of transformation, mindset and culture.

This work describes the reality of today’s struggle to achieve supply chain agility, providing guidelines and testable propositions, and at the same time, avoids “ivory tower prescriptions,” which exclude the real world details from the research process (Meredith, 1993). By including the messy real world details, while difficult to understand and explain, the authors are able to make strides in the AAT toward theory that explains and guides the manager’s everyday reality with all of its messy real world details.

This study aims to develop a conceptual model demonstrating the antecedents and outcomes of consumers’ online tourism information confusion.

A deductive approach was utilized to propose eight variables as antecedents of online confusion and five confusion reduction strategies as outcomes of consumers’ online tourism confusion. The underlying mechanisms in which these variables might lead to consumers’ online tourism information confusion are elaborated using elaboration likelihood model (ELM) (Petty and Cacioppo, 1986) as the major theoretical underpinning.

The model indicates that consumers could experience overload, similarity and ambiguity confusion when the information acquired is too much, too similar and/or too vague. In addition, as suggested by the ELM (Petty and Cacioppo, 1986), online users who are low in learning orientation, price consciousness, cognition need and Internet experience and high in ambiguity tolerance are more likely to experience confusion because of their lower motivation/ability to process external stimuli.

One limitation of this study is the lack of empirical test of the proposed model. Another limitation is that only five individual characteristics that might make online consumers prone to confusion were included. Other variables related to individual differences that could influence confusion should be explored as well.

This paper provides valuable implications for online tourism marketers to address consumers’ confusion during information search process. Five individual characteristics proposed as important antecedents of consumers’ confusion can be utilized by online tourism marketers to develop customized online communication strategies for different segments.

This paper is one of the few studies that connect the concept of consumers’ confusion to the online tourism field as well as discuss the concept of consumers’ confusion through the integration of information provider and recipients’ perspective.

Health misinformation on social media threatens public health. A critical question that sheds light on the propagation of health misinformation across social media platforms revolves around identifying the specific types of social media users susceptible to this issue. This study provides an initial insight into this matter by examining the underlying psychological mechanism that renders users susceptible to health misinformation.

In this study, we developed an integrated model of susceptibility to health misinformation, drawing on the motivation-opportunity-ability theory and the elaboration likelihood model. We collected the data from a sample of 342 social media users in China. Furthermore, the fuzzy-set qualitative comparative analysis was adopted to examine the proposed model and uncover the causal recipes associated with susceptibility to health misinformation.

The results indicated that there are three configural types of users that are susceptible to health misinformation: the health-consciousness core-driven type, the popularity-driven core type and the dual-driven type characterized by both high health consciousness and information popularity. Among these, high health-consciousness and the reliance on information popularity-based pathways emerge as pivotal factors influencing susceptibility to health misinformation.

This study contributes to the social media literature by identifying various psychological traits that lead to social media users’ susceptibility to health misinformation. Additionally, the study provides comprehensive guidance on how to mitigate the spread of health misinformation.

With the prevalence of enterprise social media (ESM), this study examines how the innovative and routine ESM use behaviors in the post-acceptance stage influence the quality and quantity dimensions of information processing (i.e. information equality and information overload), subsequently affecting employee autonomy grounded in the digital information management theoretical (DIMT) framework. This study further explores the moderating effects of communication visibility on the relationships between employee autonomy and each of the two information processing factors.

The proposed theoretical model was empirically validated using survey data of 266 knowledge workers that use ESM in a hybrid working context.

The results demonstrate that innovative and routine ESM use have different impacts on the quality and quantity dimensions of information processing, and information equality (quality dimension) improves employee autonomy as expected, but, surprisingly, information overloads (quantity dimension) as well. ESM communication visibility positively moderates the relationship between employee autonomy and each dimension of information processing.

Prior studies on ESM use widely focused on ESM's positive and negative outcomes and the mechanisms from the perspectives of employees' psychological and cognitive reactions. How ESM use behaviors in the post-acceptance stage empower employee autonomy and allow organizations to leverage the organizations' information technology (IT) investments remains unclear. Drawing on the information processing perspective, this study provides a novel angle to examine how to leverage IT values that stem from ESM use by considering the complementary roles of active and passive information processing.