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This study concerns two aspects of the integration process critical for the success of acquisitions: (1) levels of human integration and task integration and (2) speeds of human integration and task integration. The purpose of this study is to examine the interaction effects of human/task integration level and human integration speed advantage on acquisition performance.

This study collected data of companies in the Taiwanese high-tech industries at the financial, organizational and industrial levels to examine the proposed hypotheses. Corporate financial and patent data were collected from the Taiwan Securities and Futures Commission databases and the Intellectual Property Office (IPO) databases. The organizational level data were collected from 142 publicly traded related acquisitions from 2008 to 2009 in the Taiwanese high-tech industries.

The results show that (1) a high level of human integration positively affects technological performance; (2) the interaction term of human integration level and human integration speed advantage (i.e., relatively faster human integration coupled with slower task integration) positively affects technological performance; and (3) the interaction term of task integration level and human integration speed advantage positively affects technological performance.

The originality of this study lies in advancing our understanding of how complex interactions between human/task integration level and human integration speed advantage affect acquisition performance.

Mobile instant messaging (MIM) apps could provide rich and instant information in employees’ communication. However, how media richness impacts MIM user loyalty is unknown. The purpose of this paper is to adopt media richness and social presence theories as theoretical foundations to address this insufficiency.

Collecting 247 responses from an online survey, the authors use structural equation modelling for data analysis and hypothesis testing.

The authors found that immediate feedback and personal focus are the main aspects of media richness that are positively related to social presence, relatedness need satisfaction and user loyalty to MIM.

This is the first study using two pertinent theories to explain how aspects of media richness affect user loyalty to MIM. The present findings suggest that firms developing MIM apps focus on immediate feedback and personal focus as effective means to encourage user loyalty.

Complex and sudden change that healthcare organizations often have to respond to, such as during the recent pandemic, can create major disruptions and a prolonged state of alert. Although the impact of such crises can be predominantly negative, rapid adjustments during this time can also yield positive change that can support organizational response to crisis, if managed well. Using insights from organizational learning and organizational change theory, the aim of this study was to understand organizational learning during sudden change. Specifically, the authors aimed to understand the experiences and types of gains and losses in the processes of complex and disruptive change in one large healthcare organization in the UK.

Focus group data were used from 23 focus group discussions with 575 participants representing all functions and departments in one Healthcare Trust.

The participants revealed the rich gains, losses, and lessons experienced in response to sudden change that can promote organizational learning. Perceived losses are more likely to drive a desire to refreeze “back to normal” and perceived gains more likely to lead to an emphasis on embedding gains and changing to better. Therefore, on balance, the substantial, in number and variety, gains and learnings point to a learning organization. This is an essential attribute for responding to disruptive change successfully and facilitating organizational recovery in a post-pandemic world.

The findings highlight the importance of timely harnessing of the organizational learning emerging from crises and how this can inform a more resilient organization, as well as supporting sustainable organizational cross-learning.

By extending these insights on workers’ adaptation to sudden change, the findings can help to advance the science and practice of organizational learning and support organizational recovery, especially as they describe the new status in UK healthcare organizations.

The purpose of this paper is twofold. First, this study applies social presence theory to explore the influences of public self-awareness on consumers’ choice inconsistency and post-choice satisfaction. Second, the authors investigate how time pressure moderates the effects of self-awareness on choice inconsistency and post-choice satisfaction so that online sellers can better align their marketing strategies.

This research consists of two studies. Study 1 conducted a 3 (self-awareness: public/private/control) × 2 (time pressure: high/none) experiment, and 311 online participants were recruited to explore the influence of public self-awareness and time pressure. Study 2 used a 3 (self-awareness: public/private/control) × 2 (time pressure: high/no) × 2 (self-consciousness: high/low) quasi-experiments, and the authors used 652 online participants to examine the effect of self-awareness, time pressure and public self-consciousness on choice inconsistency and post-choice satisfaction.

The results indicate that publicly self-aware consumers under high time pressure show greater inconsistency than those under no time pressure. Also, people with higher public self-consciousness exhibited higher choice inconsistency and post-choice satisfaction in public self-awareness situations than those in private self-awareness and control conditions.

To generalize the results, this study should be replicated using more heterogeneous populations in diverse regions and cultures, as well as other product categories.

This study explores the implications of evoking self-awareness during online consumption and the online purchase process by observing the moderating effect of self-consciousness and time pressure. The findings provide insights to marketing practitioners who seek to increase their companies’ competitive advantage and profits through effective online manipulations of consumers’ self-awareness.

Extant research does not address how time pressure affects the relationships among public self-awareness, choice inconsistency and post-choice satisfaction. In addition, prior research only focused on public self-awareness in customer consumption. This study bridges these gaps and has implications for e-commerce, consumer behavior and relationship marketing research fields.

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.

The rock drill’s drill tail experiences high-frequency fretting simultaneously in the rotational and axial directions. Due to the complex working characteristics and the low viscosity of the water medium, the pure water seal is susceptible to damage and failure. The purpose of this paper is to enhance the water seal’s performance.

The Y-shaped seal ring is modeled and simulated using orthogonal testing. Through analysis of the impact of various seal section parameters on sealing performance, the maximum contact stress and maximum Von Mises stress are selected as indicators of sealing effectiveness.

The maximum contact stress is proportional to lip thickness and chamfer length but inversely proportional to lip length. Meanwhile, the maximum Von Mises stress is directly influenced by lip depth and the included angle of the lip and drill tail but is inversely proportional to the lip thickness. The enhanced Y-shaped water seal sees reductions of 15% and 45% in maximum contact stress and maximum Von Mises stress, respectively.

This paper used analytical method and model that is helpful for design of the water seal’s structure in complex working characteristics and the low viscosity of the water medium.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-11-2023-0366/

To examine the effectiveness of a multichannel strategy, this study mainly investigates two issues: (1) whether customers' five value perceptions (i.e. product quality, service quality, innovation, price and store image) extend from e-stores to physical stores and (2) whether customers' five value perceptions derived from e-stores/physical stores facilitate purchase intention within and beyond the channel context.

This study develops a research model to elaborate on the relationships between the focal constructs and collects 177 useable responses via an online community and personal contacts survey. Partial least squares structural equation modeling (PLS-SEM) methods and mediation analyses are conducted to validate the proposed hypotheses.

The results show that the values perceived in e-stores/physical stores generally motivate online/offline purchase intention, respectively. Next, based on Tversky's belief/feature matching process, the five value perceptions correlate with their counterparts across online and offline channels. The results of the mediation analyses suggest that the advantages established in online channels may be contagious to offline channels at the belief level. Specifically, four of the five online value perceptions may have different effects on offline purchase intention: (1) product quality perceived in e-stores directly (negative) and indirectly (positive) results in offline purchase intention, demonstrating cannibalization effects and (2) service quality, innovation and store image perceived in e-stores indirectly and positively contribute to offline purchase intention, indicating synergetic effects.

The findings of this study provide several important theoretical and practical implications for multichannel and omnichannel retailing strategies.

By distinguishing opportunism-based and bounded rationality-based transaction costs, the study examines how firms use equity/relational governance and boundary spanners' guanxi to govern their exploration alliances in a transaction cost economizing way.

This study used a survey methodology for data collection, and the sample consists of 150 exploration alliances formed by large Taiwanese information and electronic firms.

Findings of this study show that exploration alliances incur considerable transaction costs and require high-level equity control and relational governance. The positive exploration of alliance-equity ownership relationship will be weakened by boundary spanners' guanxi when guanxi serves to harmonize conflicts and mitigate opportunism-based transaction costs, thereby reducing the need for using costly equity ownership to govern exploration alliances. In contrast, the positive exploration alliance-relational governance relationship will be amplified when guanxi becomes a source of legitimacy in the Chinese guanxi institution. This relation-augmenting effect will drive more relational governance because guanxi and relational governance together allow alliance managers to obtain sufficient legitimacy in the formation of a common dominant frame, thereby mitigating bounded rationality-based transaction costs.

By distinguishing various moderating effects of boundary spanners' guanxi and separating transaction costs into two forms, this study contributes to the existing literature as well as advances our understanding of alliance governance decisions in the Chinese business environment.

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

Logistical facility location decisions can make a crucial difference in the success or failure of a company. Geographical Information Systems (GIS) have recently become a very popular decision support system to help deal with facility location problems. However, until recently, GIS methodologies have not been fully embraced as a way to deal with new facility location problems in business logistics. This research makes a framework for categorizing empirical facility location problems based on the intensity of the involvement of GIS methodologies in decision making. This framework was built by analyzing facility location models and GIS methodologies. The research results revealed the depth of the embracement of GIS methodologies in logistics for determining new facility location decisions. In the new facility location decisions, spatial data inputs are almost always coupled with the visualization of the problems and solutions. However, the usage of GIS capability solely (i.e. suitability analysis) for problem solving has not been embraced at the same level. In most cases, the suitability analysis is used together with special optimization models for choosing among the multiple alternatives.