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This study aims to develop an associative text analyzer (ATA) to support users in quickly grasping and interpreting the content of large amounts of text through text association recommendations, facilitating the identification of the contextual relationships between people, events, organization and locations for digital humanities. Additionally, by providing text summaries, the tool allows users to link between distant and close readings, thereby enabling more efficient exploration of related texts.

To verify the effectiveness of this tool in supporting exploration of historical texts, this study uses a counterbalanced design to compare the use of the digital humanities platform for Mr. Lo Chia-Lun’s Writings (DHP-LCLW) with and without the ATA to assist in exploring different aspects of text. The study investigated whether there were significant differences in effectiveness for exploring textual contexts and technological acceptance as well as used semi-structured in-depth interviews to understand the research participants’ viewpoints and experiences with the ATA.

The results of the experiment revealed that the effectiveness of text exploration using the DHP-LCLW with and without the ATA varied significantly depending on the topic of the text being explored. The DHP-LCLW with the ATA was found to be more suitable for exploring historical texts, while the DHP-LCLW without the ATA was more suitable for exploring educational texts. The DHP-LCLW with the DHP-LCLW was found to be significantly more useful in terms of perceived usefulness than the DHP-LCLW without the ATA, indicating that the research participants believed the ATA was more effective in helping them efficiently grasp the related texts and topics during text exploration.

The study’s practical implications lie in the development of an ATA for digital humanities, offering a valuable tool for efficiently exploring historical texts. The ATA enhances users’ ability to grasp and interpret large volumes of text, facilitating contextual relationship identification. Its practical utility is evident in the improved effectiveness of text exploration, particularly for historical content, as indicated by users’ perceived usefulness.

This study proposes an ATA for digital humanities, enhancing text exploration by offering association recommendations and efficient linking between distant and close readings. The study contributes by providing a specialized tool and demonstrating its perceived usefulness in facilitating efficient exploration of related texts in digital humanities.

For survival and prosperity, enterprises need to simultaneously engage in exploitation and exploration. Digital transformation is of great significance to enterprise innovation. However, the impacts of digital transformation on exploitation and exploration remain unclear. Moreover, the impacts of technological diversity on the relationships between digital transformation and exploitation and exploration are also unknown.

Based on an integrated perspective of dynamic capability theory and organizational inertia theory and using data from Chinese listed enterprises from 2007 to 2020, this study clarifies the effects of digital transformation on exploitation and exploration and assesses the moderating effect of technological diversity.

The results show that digital transformation improves exploitation, but negatively impacts exploration. Technological diversity mitigates the negative effect of digital transformation on exploration, but the moderating effect on the relationship between digital transformation and exploitation is not significant.

This study contributes to the existing literature on the digital paradox and provides guidance for enterprises to clarify the direction of digital transformation.

This study aims to argue that manufacturers with more exploration orientation (compared to exploitation orientation) have higher degrees of export marketing internalization (EMI) of branding and channels.

The authors use a multisource survey collecting data from 161 Taiwanese high-tech manufacturers in emerging markets.

The results show that manufacturers with more exploration orientation have higher degrees of EMI of both branding and channels. This work also reveals that relational ties with supply chain peers can strengthen this proposed positive effect on the EMI of channels while weakening the positive proposed effect on the EMI of branding.

Accordingly, this study enriches the resource-based view (RBV) literature by showing how firms’ unique resource portfolios affect their adopted EMI strategies in two ways: (1) firms design their EMI based on their value maximization of core competences (e.g. ambidexterity capability), and (2) firms face resource inconsistency when designing their EMI of different marketing activities.

This paper explores the precedents for purchasing to contribute effectively to innovation exploration. We investigate how purchasing can become aware of innovation opportunities, their incentives or motivations to explore and capture innovation and the required capabilities.

Aiming for theory elaboration, we analyse an exemplar case study of a company developing leading-edge practices for involving purchasing in innovation exploration applying an Awareness-Motivation-Capability (AMC) framework.

This study elaborates on purchasing theory with a comprehensive set of AMC-based precedents for purchasing’s innovation exploration contribution that we categorise into three dimensions: motivations, capabilities and awareness. Our findings indicate interrelations between these and purchasing motivation as a precedent of capabilities and awareness.

We demonstrate the useful of applying AMC theory to researching purchasing’s contribution to innovation and how AMC needs to be adapted in this research context. We explore interrelations between awareness, motivation and capabilities but propose future research on the nature of these interrelations.

We suggest ways for managers to shape, adapt or redesign their purchasing organisations to better support innovation exploration.

This study proposes a framework for purchasing contribution to innovation based on AMC theory.

To make the robot that have real autonomous ability is always the goal of mobile robot research. For mobile robots, simultaneous localization and mapping (SLAM) research is no longer satisfied with enabling robots to build maps by remote control, more needs will focus on the autonomous exploration of unknown areas, which refer to the low light, complex spatial features and a series of unstructured environment, lick underground special space (dark and multiintersection). This study aims to propose a novel robot structure with mapping and autonomous exploration algorithms. The experiment proves the detection ability of the robot.

A small bio-inspired mobile robot suitable for underground special space (dark and multiintersection) is designed, and the control system is set up based on STM32 and Jetson Nano. The robot is equipped with double laser sensor and Ackerman chassis structure, which can adapt to the practical requirements of exploration in underground special space. Based on the graph optimization SLAM method, an optimization method for map construction is proposed. The Iterative Closest Point (ICP) algorithm is used to match two frames of laser to recalculate the relative pose of the robot, which improves the sensor utilization rate of the robot in underground space and also increase the synchronous positioning accuracy. Moreover, based on boundary cells and rapidly-exploring random tree (RRT) algorithm, a new Bio-RRT method for robot autonomous exploration is proposed in addition.

According to the experimental results, it can be seen that the upgraded SLAM method proposed in this paper achieves better results in map construction. At the same time, the algorithm presents good real-time performance as well as high accuracy and strong maintainability, particularly it can update the map continuously with the passing of time and ensure the positioning accuracy in the process of map updating. The Bio-RRT method fused with the firing excitation mechanism of boundary cells has a more purposeful random tree growth. The number of random tree expansion nodes is less, and the amount of information to be processed is reduced, which leads to the path planning time shorter and the efficiency higher. In addition, the target bias makes the random tree grow directly toward the target point with a certain probability, and the obtained path nodes are basically distributed on or on both sides of the line between the initial point and the target point, which makes the path length shorter and reduces the moving cost of the mobile robot. The final experimental results demonstrate that the proposed upgraded SLAM and Bio-RRT methods can better complete the underground special space exploration task.

Based on the background of robot autonomous exploration in underground special space, a new bio-inspired mobile robot structure with mapping and autonomous exploration algorithm is proposed in this paper. The robot structure is constructed, and the perceptual unit, control unit, driving unit and communication unit are described in detail. The robot can satisfy the practical requirements of exploring the underground dark and multiintersection space. Then, the upgraded graph optimization laser SLAM algorithm and interframe matching optimization method are proposed in this paper. The Bio-RRT independent exploration method is finally proposed, which takes shorter time in equally open space and the search strategy for multiintersection space is more efficient. The experimental results demonstrate that the proposed upgrade SLAM and Bio-RRT methods can better complete the underground space exploration task.

The purpose of this paper is to analyse the role of quality management on the development of organisational exploration.

Partial Least Square was used on a sample of 350 companies within the Spanish organic agro-food industry.

The study results provide empirical evidence of the positive and significant impact that quality management has on the development of organisational exploration.

Causal relationships cannot be applied to this study due to cross-sectional data being used rather than longitudinal data.

Quality management must be considered by managers an essential tool to the development of organisational exploration. As a systematic approach, that moves towards to the development of policies, attitudes and behaviours which foster and boots the development of organisational exploration.

Quality management is a widely used management approach, which organisations use to improve the quality of their products, services and their overall performance. Organisational exploration is seen as a fundamental tool to ensure sustainability, profitability and the future survival of organisations; however, there is disagreement throughout previous research. Some authors point out the importance of quality management in developing activities that promote organisational exploration, whereas other authors see quality management as an inhibitor. Given the great controversy in previous research, our study clarifies the role of quality management in the development of organisational exploration.

We argue that a fundamental issue regarding how to search and how to switch between different cognitive modes lies in the decision rules that influence the dynamics of learning and exploration. We examine the search logics underlying these decision rules and propose conceptual prompts that can be applied mentally or computationally to aid managers’ decision-making.

By applying Multi-Armed Bandit (MAB) modeling to simulate agents’ interaction with dynamic environments, we compared the patterns and performance of selected MAB algorithms under different configurations of environmental conditions.

We develop three conceptual prompts. First, the simple heuristic-based exploration strategy works well in conditions of low environmental variability and few alternatives. Second, an exploration strategy that combines simple and de-biasing heuristics is suitable for most dynamic and complex decision environments. Third, the uncertainty-based exploration strategy is more applicable in the condition of high environmental unpredictability as it can more effectively recognize deviated patterns.

This study contributes to emerging research on using algorithms to develop novel concepts and combining heuristics and algorithmic intelligence in strategic decision-making.

This study offers insights that there are different possibilities for exploration strategies for managers to apply conceptually and that the adaptability of cognitive-distant search may be underestimated in turbulent environments.

Drawing on insights from machine learning and cognitive psychology research, we demonstrate the fitness of different exploration strategies in different dynamic environmental configurations by comparing the different search logics that underlie the three MAB algorithms.

Organizational exploration has recently emerged in the literature as an essential aspect of contemporary organizations. However, little is known about its antecedents and, specifically, the role of contemporary leadership styles. The present study investigates the relationship between empowering leadership and organizational exploration. In addressing this relationship, we examine preoccupation with failure and leader gender as a mediator and a moderator, respectively.

We collected data from a sample of 326 US employees in March 2022. To test the present hypotheses, we used the PROCESS SPSS macro.

Our results supported our moderated mediation model, demonstrating that the indirect relationship of empowering leadership with organizational exploration via preoccupation with failure is stronger for male leaders than for female counterparts.

Concerning the practical implications of this study, organizations should be cognizant of empowering leaders’ impact on desirable outcomes. Additionally, organizations should promote preoccupation with failure to ameliorate organizational exploration. Preoccupation with failure can be achieved when error reporting is encouraged by organizations and supervisors and when a culture that promotes constructive feedback is established.

The present study offers novel insights into the underlying mechanisms and boundary conditions through which empowering leadership relates to organizational exploration. Additionally, it fills a gap in the literature concerning the relationship between empowering leadership and preoccupation with failure. Moreover, it adds to prior research regarding the outcomes of preoccupation with failure, filling the gap regarding the relationship between preoccupation with failure and organizational exploration. Lastly, it expands limited research focused on leader gender as a condition under which the effect of contemporary leadership styles could be enhanced or mitigated.

This study aims to explore how the absorptive capacity of emerging market multinationals (EMNEs) facilitates increased acquirer performance in industry exploration and technology exploration cross-border acquisitions (CBAs).

The research context for this study is Brazilian EMNEs and their CBAs. The final database contains 101 CBAs.

The authors find that industry exploration strategies negatively affect financial performance, but technology exploration strategies have a positive effect. The acquirer’s absorptive capacity can exacerbate the negative effects, except in instances of technology exploration strategies, where there is a demonstrable benefit from the acquirer’s absorptive capacity.

The study contributes first by providing a more nuanced understanding of the effects of absorptive capacity on postacquisition performance, depending on the type of knowledge explored. Second, by drawing on EMNE learning perspectives, the authors demonstrate the versatility of absorptive capacity in emerging markets.

This study aims to build an integrated model for information technology (IT)/information system (IS) team exploration and exploitation innovation in the business-to-business (B2B) enterprise context by empirically investigating the mediating role of tacit-explicit knowledge co-creation and exploring the behavior approach of servant leaders for IT/IS team exploration-exploitation innovation.

The authors' analysis was supported by 182 enterprise-IT/IS teams (403 participants) in Taiwan. The authors used a questionnaire and Structural Equation Model (SEM)-SmartPLS to validate the development model. This study examines IT/IS exploration-exploitation innovation using a combination of quantitative survey research and qualitative case studies.

The specific roles of direct and mediating effects for two innovations of IT/IS team exploration and exploitation were investigated. The findings show a direct effect of knowledge creation (tacit and explicit) on IT/IS team exploration-exploitation innovation. Servant leader behavior positively influences tacit-explicit knowledge co-creation practices, IT/IS team exploration and exploitation. Moreover, knowledge creation (tacit and explicit) successfully mediates the correlation between servant leaders and IT/IS team innovations (for exploration and exploitation).

Managers, IT/IS consultants and enterprises at the executive level are suggested to encourage knowledge co-creation practices, both tacit and explicit to support their IT/IS team innovation. The greater the degree of explicit knowledge (i.e. socialization and internalization) and tacit knowledge creation (i.e. externalization and combination), the greater will be the opportunities for meeting the enterprise-IT/IS team exploration and exploitation innovation goals. The project manager may follow servant leadership behavior to promote effective knowledge co-creation process on the IT/IS team.

This effort contributes to greater and new understanding of how ambidexterity capability, tacit-explicit knowledge co-creation (mediators) and servant leaders for IT/IS team exploration-exploitation innovation in the B2B enterprise context and new foundations for future studies on a cross-enterprise IT/IS team. This research is also the first empirical effort to understand how a servant perspective leadership contributes through the knowledge co-creation process for IT/IS exploration-exploitation innovation.