Combining variance and process in information systems research: Hybrid approaches

The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry

This study aims to investigate the role of artificial intelligence (AI) driven facial recognition to enhance a value proposition by influencing different areas of services in the travel and tourism industry. We adopted semi-structured interviews to derive insights from 26 respondents. Thematic analysis reveals the development of four main themes (personalization, data-driven service offering, security and safety, and seamless payments). Further, we mapped the impact of AI- driven facial recognition to enhance value and experience for corporate guests. Findings indicate that AI-based facial recognition can facilitate the travel and tourism industry in understanding travelers' needs, optimization of service offers, and value-based services, whereas data-driven services can be realized in the form of customized trip planning, email, and calendar integration, and quick bill summarization. This contributes to strengthening the tourism literature through the lens of organizational information processing theory.

The Pursuit of Innovative Theory in the Digital Age

Grover & Lyytinen (2015) urged to reassess the Information System (IS) field’s exclusive dependence on reference theories and to engage more in blue-ocean theorizing. From its inception, such need has been latent in the field, because it deals with novel, fast changing, complex, and systemic phenomena that is hard to account with received theory. We note in this essay that the need for innovative theorizing is heightened given the unprecedented, pervasive digitalization of contemporary society, accelerated by ongoing COVID-19 pandemic. In this essay, we scrutinize further the idea of blue-ocean theorizing and review the characteristics, impediments, and merits of developing innovative theory. We define endeavors toward such theory as collectively endorsed cognitive processes which increase variance and novelty of theoretical accounts of IS phenomena. These push to deviate from the field’s established theoretical (canonical) core by relaxing six assumptions that guide dominant, legitimate forms of the field’s theorizing. We identify and review institutional barriers that curb the development of innovative theory. In conclusion, we offer guidelines for how the field and its stakeholders can productively engage in developing and evaluating innovative theory.

Embracing Paradox: TMT paradoxical processes as a steppingstone between TMT reflexivity and organizational ambidexterity

Top management teams are crucial in managing the ambidexterity paradox. This endeavour, however, generates cognitive conflicts. Surprisingly, this particular topic has received little attention within the ambidexterity literature. We aim to address this lacuna and, in doing so, extend the paradox literature and the emerging socio-cognitive perspective on ambidexterity. In our hypothesized mediation model, top management teams embrace the exploration-exploitation paradox through reflexivity, then overcome this paradox through paradoxical cognitive processing – the capacity to cognitively differentiate and integrate exploration and exploitation – which finally fosters ambidexterity. We test and find support for our hypotheses using a sample of 335 Dutch and German small and medium enterprises. We end with a discussion on how socio-cognitive factors influence the management of the ambidexterity paradox. In doing so, we refine scholarly understanding of motivating and enabling factors that allow top management teams to deal with the paradoxical tensions surrounding ambidexterity.

Following the MAP (Methods, Approaches, Perspectives) in Information Systems Research

Following the Methods, Approaches, Perspectives (MAP) in IS Research

Information technology-enabled explorative learning and competitive performance in industrial service SMEs: a configurational analysis

Purpose

As purveyors of knowledge-based and high value-added services to the manufacturing sector, industrial service small- and medium-sized enterprises (SMEs) must develop the information technology (IT) capabilities that, in combination with other non-IT capabilities, enable their capacity for organizational learning (OL) and for explorative learning in particular. In this context, this study aims to identify the different causal configurations that account for the nonlinear complex interplay of IT capabilities for exploration and strategic capabilities for explorative learning as they affect these firms’ competitive performance.

Design/methodology/approach

Survey data obtained from 92 industrial service SMEs were analyzed with a configurational approach, using fuzzy set qualitative comparative analysis (fsQCA).

Findings

As it allows for equifinality, the fsQCA analysis identified two sets of causal configurations that characterize the sampled firms’ explorative learning capability as it relates to competitive performance. In the first set, two configurations were equally associated with high innovation performance, whereas in the second set, four configurations were equally associated with high productivity.

Originality/value

By viewing explorative learning as a dynamic capability that is enabled by the firm’s IT and strategic capabilities, the study contributes to OL theory by providing a more concrete or “operational” grounding, which allows for a greater practical applicability of this theory. By taking both the configurational and capability-based views of the OL-IT-performance causal framework, the authors provide an empirical basis for unraveling, explaining and understanding the complex non-linear relationships embedded within this framework.

Theory building is neither an art nor a science. It is a craft

Researchers often hold a romantic view of theory, which they feel should be a complete, flawless, deep, and exhaustive explanation of a phenomenon. They also often hold a romantic view of theory building, which they envision either as emerging from trancelike writing or as the product of a straightforward deductive process. The perspective I offer is more realistic and pragmatic. I espouse the view that the outcomes of a researcher’s theorizing efforts are often incomplete explanations of a phenomenon, which, given a chance, may develop into rich theories. I propose a highly iterative spiral model that portrays theory building as a craft, which calls for care and ingenuity, and requires patience and perseverance. I also propose design principles that can contribute to the quality of the outcome of theorizing.