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Exploratory search activities are ubiquitous in various information systems. Much potentially useful or even serendipitous information is discovered during the exploratory search process. Given its irreplaceable role in information systems, exploratory search has attracted growing attention from the information system community. Since few studies have methodically reviewed current publications, researchers and practitioners are unable to take full advantage of existing achievements, which, in turn, limits their progress in this field. Through a literature review, this study aims to recapitulate important research topics of exploratory search in information systems, providing a research landscape of exploratory search.

Automatic and manual searches were performed on seven reputable databases to collect relevant literature published between January 2005 and July 2023. The literature pool contains 146 primary studies on exploratory search in information system research.

This study recapitulated five important topics of exploratory search, namely, conceptual frameworks, theoretical frameworks, influencing factors, design features and evaluation metrics. Moreover, this review revealed research gaps in current studies and proposed a knowledge framework and a research agenda for future studies.

This study has important implications for beginners to quickly get a snapshot of exploratory search studies, for researchers to re-align current research or discover new interesting issues, and for practitioners to design information systems that support exploratory search.

This study aims to examine the effect of exploratory innovation offshoring on the level of hierarchical control and how this effect is moderated by transnational and dynamic environments.

This study draws on a sample of 148 Taiwanese multinational enterprises to examine their governance decisions on foreign investments.

Findings show that the more innovation offshoring is exploratory, the higher the level of hierarchical control will be used by multinational enterprises (MNEs) and that transnational and dynamic environments have different moderation effects on the positive exploratory innovation offshoring-hierarchical control relationship.

This study has two theoretical implications. First, this study extends the concept of complexity from a transaction attribute level (problem) to an environmental level (transnational environment) and finds that exploratory innovation offshoring and transnational environments interactively impact governance choices. Second, this study distinguishes between two sources of technological uncertainty – uncertainty due to transaction-level attributes (exploratory innovation offshoring) and external environments (dynamic environments) and finds that exploratory innovation offshoring and dynamic environments interactively impact governance choices.

The practical implication of this study lies in the simultaneous consideration of exploratory innovation offshoring and transnational/dynamic environments, which will allow international decision-makers to adjust/select the governance forms most appropriate for speedy responding to and handling environmental changes.

This study employs the theoretical perspectives of transaction cost economics (TCE) and resource-based view (RBV) to analyze and discuss the impact of operational environments – transnational and dynamic environments – on MNEs’ decisions on the governance structure for a given innovation offshoring.

This study aims to explore how to overcome and address the loss of exploratory innovation, thereby achieving greater success in exploratory innovation. This phenomenon of loss occurs when enterprises decrease their investment in and engagement with exploratory innovation, ultimately leading to an insufficient amount of such innovation efforts. Drawing on dynamic capabilities, this study investigates the relationship between organizational foresight and exploratory innovation and examines the moderating role of breakthrough orientation/financial orientation.

This study used survey data collected from 296 Chinese high-tech companies in multiple industries and sectors.

The evidence produced by this study reveals that three elements of organizational foresight (i.e. environmental scanning capabilities, strategic selection capabilities and integrating capabilities) positively influence exploratory innovation. Furthermore, this positive effect is strengthened in the context of a high-breakthrough orientation. Moreover, the relationships among environmental scanning capabilities, strategic selection capabilities and exploratory innovation become weaker as an enterprise’s financial orientation increases, whereas a strong financial orientation does not affect the relationship between integrating capabilities and exploratory innovation.

Ambidexterity is key to successful enterprise innovation. Compared with exploitative innovation, it is by no means easy to engage in exploratory innovation, which is especially important in high-tech companies. While the loss of exploratory innovation has been observed, few empirical studies have explored ways to promote exploratory innovation more effectively. A key research implication of this study pertains to the role of organizational foresight in the improvement of exploratory innovation in the context of high-tech companies.

This paper contributes to the broader literature on exploratory innovation and organizational foresight and provides practical guidance for high-tech companies regarding ways of avoiding the loss of exploratory innovation and becoming more successful at exploratory innovation.

The purpose of this study is to examine the underlying mechanisms of exploitative innovation and exploratory innovation between social media usage and organizational agility, and elucidate the moderating role of learning goal orientation (LGO) in the above relationships, based on adaptive structuration theory (AST).

Based on a multiple-respondent matched survey of 334 Chinese e-commerce firms, authors employed structural equation modeling to examine the correlations among social media usage, exploitative innovation, exploratory innovation and organizational agility. Hierarchical regression analysis was used to examine the moderating role of LGO.

This study's empirical findings demonstrate that exploitative innovation and exploratory innovation mediate the relationship between social media usage and organizational agility in different ways. Further, LGO positively moderates the relationship between social media usage for customer acquisition and exploratory innovation, as well as the relationship between social media usage for customer relationship and exploitative innovation.

Firms are advised to leverage different types of social media usage to facilitate exploitative innovation and exploratory innovation and promote organizational agility. In addition, LGO within a firm should be established to enhance the effects of social media usage on exploitative innovation and exploratory innovation.

This study adds to the literature on social media usage by proposing and examining exploitative innovation and exploratory innovation as explanatory mechanisms to facilitate organizational agility. This study further identifies LGO as a boundary condition of social media usage's effect on exploitative innovation and exploratory innovation. By contextualizing social media as advanced information technology, this study contributes to the contextualization of AST in the social media context.

The purpose of this study is to investigate the impact of team psychological capital (PsyCap) on team innovation. The study also examines the mediating role of team learning, including exploratory and exploitative learning, in team innovation.

A sample of 272 team leaders of firms in Vietnam was surveyed to validate the measures via confirmatory factor analysis and to test the model and hypotheses using structural equation modeling.

The results demonstrate that team PsyCap has a positive effect on team innovation. Further, team exploratory learning mediates the relationship between team PsyCap and team innovation; however, team exploitative learning does not. Although team exploitative learning is explained by team PsyCap, it does not enhance team innovation.

The study findings suggest that, to enjoy a high level of team exploratory and exploitative learning and innovation, firms should develop team PsyCap. This could be undertaken by implementing leader–subordinate mentoring programs, together with creating a social context that helps in interacting and communicating among team members.

This study is among the first to examine the role of team PsyCap in team exploratory and exploitative learning and innovation, adding further insight to the literature on innovation at the team level.

The purpose of this paper is to explore the impact of a firm's innovation activities on performance, and focus on the internal fit and external fit of two types of innovation activities – exploratory innovation and exploitative innovation.

The paper adopts the survey data of 397 enterprises in eastern, middle, and western China. The business strategy attributes analysis based on strategic orientation of business enterprises (STROBE) scale was used to classify the business strategy types, and hierarchical regression analyses were employed to test the hypotheses.

The results show: both exploratory innovation and exploitative innovation have a positive effect on firm performance; the internal fit between exploratory innovation and exploitative innovation, whether it is fit as moderating or fit as matching, has no significant effect on firm performance; the fit between innovation activity and firm business strategy has significant effect on firm performance, therefore, exploratory innovation activity fits defenders and exploitative innovation activity fits prospectors; and the fit between the innovation activity and external environment has a slight effect on firm performance. Environmental competitiveness can enhance exploratory innovation outcome but diminish exploitative innovation outcome.

The paper has supplied the empirical evidence discovered in the context of China to the theoretical views of exploratory innovation and exploitative innovation, and achieved some results which differ from the ones drawn by similar researches done abroad.

The purpose of this paper is to investigate the links between the enterprise social networks (ESN) use and the exploitative and exploratory innovations and deepen the analysis by examining the mediating role of the sub-dimensions of intellectual capital (IC) in these relationships.

The authors use a quantitative method based on the questionnaire administrated to a sample of 248 middle managers working in Tunisian ICT firms. Regarding the data analysis, the authors use a partial least square-structural equation modeling (PLS-SEM) method.

Results highlight that whereas exploratory innovation is positively linked to human capital (HC) and social capital (SC), exploitative innovation is positively associated with HC. Findings show that the ESN use is linked positively to exploitative innovation and this link is mediated by HC. The data analysis also revealed that HC and SC mediate the link between ESN use and exploratory innovation.

Although limited studies have investigated the effect of the ESN use on firms, this research pioneers the examination of the effect of the ESN use on exploitative and exploratory innovations within ICT firms and the mediating roles of HC, SC and organizational capital that have never been explored. Findings are highlighted along with interesting insights for managers and outline the key aspects related to the ESN use that may improve the sub-dimensions of IC and boost exploitative and exploratory innovations.

The purpose of this paper is to advance new insights into how internal and external social capital (SC) facets influence exploratory and exploitative innovation directly, and indirectly through absorptive capability (AC), by drawing on the relational and knowledge-based views.

The paper empirically tests the developed model using 135 survey responses from managers in construction contractor firms. Data were factor analysed, and path estimates determined using partial least squares structural equation modelling to test the hypotheses.

The results reveal that each social capital (SC) facet has direct benefits for both exploratory and exploitative innovation. The findings also show a mix of full and partial mediation paths between the facets of SC and innovation types through AC.

Extant research linking SC facets with innovation categories is fragmented. Added to this fragmentation is the dearth of studies linking both intra-firm and inter-firm SC with exploratory and exploitative innovation in firms. This paper makes a novel contribution by testing a model of the direct and indirect links (through AC) between internal and external SC and both exploratory and exploitative innovation in the context of construction contractor firms. The findings show how both facets of SC are necessary for exploratory and exploitative innovation. It reveals the types of relationships and capabilities necessary for specific innovation objectives.

The purpose of this paper is to investigate when and how people working in collaboration could be benefitted by an exploratory search task, specifically focussing on team size and its effect on the outcomes of such a task.

The paper investigates the effects of team sizes on exploratory search tasks using a lab study involving 68 participants – 12 individuals, ten dyads, and 12 triads. In order to assess various factors during their exploratory search sessions, an evaluation framework is synthesized using relevant literature. The framework consists of measures for five groups of quantities relevant to exploratory search: information exposure, information relevancy, information search, performance, and learning.

The analyses on the user study data using the proposed framework reveals that while individuals working alone cover more information than those working in teams, the teams (dyads and triads) are able to achieve better information coverage and search performance due to their collaborative strategies. In many of the measures, the triads are found to be even better than the dyads, demonstrating the value of adding a collaborator to a search process with multiple facets.

The findings shed light on not only how collaborative work could help in achieving better results in exploratory search, but also how team sizes affect specific aspects – information exposure, information relevancy, information search, performance, and learning – of exploratory search. This has implications for system designers, information managers, and educators.

This study examines the effect of political networking capability (PNC) and strategic capability on exploratory innovation/exploitative innovation through the mediation of absorptive capability (AC).

Using empirical survey data collected from 153 traditional manufacturing firms (TMFs) in China, the authors apply partial least squares structural equation modeling (PLS-SEM) combined with mediation analyses to test hypotheses.

PNC has a higher impact on exploratory innovation than exploitative innovation through AC. The authors thus provide novel empirical insights into independent variables of firms' ambidextrous innovation and their implementation mechanisms.

The authors highlight a unique situation of China and contribute to the literature on PNC and AC. The findings demonstrate that AC plays an important role in configuring government-obtained external resources into new products, thus influencing ambidextrous innovation strategic decisions.

TMFs' executives should enhance PNC to obtain more resources to conduct exploratory and exploitative innovation. Government officials and policymakers should strengthen the supervision of TMFs' innovation activities and adopt effective measures to ensure that TMFs could conduct more exploratory innovation as governments expected.

This study provides new insights by bridging research gaps in the literature and advances the insights of how TMFs' PNC/strategic capability directly and indirectly fosters exploratory and exploitative innovation via the mediating role of AC in China.