Search results

Based on the organizational learning theory, this study regards market orientation as market-based learning and seeks to advance insight into how proactive and responsive market orientations affect two kinds of open innovation strategies, sourcing and selling. A firm’s information and communication technology (ICT) capability is considered an essential moderator in these relationships.

This study adopted a quantitative design and used the questionnaire survey method to collect data. The authors finally collected data on samples in China. Multiple regression analysis was used to test the hypotheses.

The results show that proactive and responsive market orientations act as antecedents of open innovation, showing linear and curvilinear relationships between them. Specifically, responsive market orientation positively affects selling, and proactive market orientation positively affects sourcing. Responsive market orientation has an inverted U-shaped relationship with sourcing, and proactive market orientation has a U-shaped relationship with selling. In addition, ICT capability strengthens the positive effects of market orientation on open innovation and weakens the negative effects.

Drawing on organizational learning theory, this study provides a novel perspective to explain the complex mechanism between market orientation and open innovation. This study also explores the moderating role of ICT capability in this process, which advances research on how to select open innovation strategies under different conditions.

The present study aims to examine the relationships between digital business transformation, organizational learning, frugal innovation and Small and Medium Enterprises (SMEs) resilience in emerging markets.

Empirical data collection has been implemented using a questionnaire method from 214 owners and managers of SMEs. The partial least squares structural equation modeling (PLS-SEM) approach was used to examine the measurement model and test hypotheses.

The results show that digital business transformation significantly impacts frugal innovation and SMEs' resilience in emerging markets. They also confirm the significant impact of frugal innovation on SMEs' resilience. Furthermore, the results revealed that organizational learning significantly impacts digital business transformation, frugal innovation and SMEs' resilience.

This study provides novel insights into the existing theories and literature regarding the determinants of SMEs' resilience in emerging markets. It also provides practical contributions, confirming the SMEs' need to develop their dynamic capabilities, including digital transformation, frugal innovation and organizational learning to maintain their resilience.

The purpose of the study is to investigate how employee ambidexterity (studied as passive and active ambidexterity; EPA and EAA) impacts employee agility (in terms of proactivity, resilience and adaptability) along with the moderating influences of employee organizational tenure (EOT).

A simple random sampling technique is used to collect primary responses from bank managers working in various public, private and regional rural banks in India. The analysis is performed using AMOS (Version-25), a covariance-based structural equation modeling approach.

The two-folded findings include first, the EAA–agility relationship is stronger than the EPA–agility linkage. Second, EOT negatively influences the EAA–EPA–agility relationships.

Although the performance impact of ambidexterity is well documented in the literature there is a dearth of empirical investigation on its agility impact. Since most of the extant researchers have studied ambidexterity and agility from an organizational context, this research highlights the less-studied ambidexterity-agility connection from an employee perspective. Further, EOT is mostly studied as a control variable, while this research investigates as a moderator influencing the ambidexterity–agility linkage in the context of emerging economies such as India.

This study aims to explore the dynamic interplay of key resources (i.e. research and development (R&D), advertising and exports) in affecting the performance of USA manufacturing firms. Specifically, the authors examine the dynamic impact of joint resources and predict differential effect scales contingent on firm capabilities.

This study presents a combined multiple regression analysis (MRA)-multilayer perceptron (MLP) neural network modeling and investigates the complex interlinkage of capabilities, resources and performance. As an innovative approach, the MRA-MLP model investigates the effect of capabilities under the combinatory deployment of joint resources.

This study finds that the impact of joint resources and synergistic rents is not uniform but rather distinctive according to the combinatory conditions and that the pattern is further shaped by firm capabilities. Accordingly, besides signifying the contingent aspect of capabilities across a range of resource combinations, the result also shows that managerial sophistication in adaptive resource control is more than a managerial ethos.

The proposed analytic process provides scientific decision support tools with control mechanisms with respect to deploying multiple resources and setting actionable goals, thereby presenting pragmatic benchmarking options to industry managers.

Using the theoretical underpinnings of the resource-based view (RBV) and resource orchestration, this study advances knowledge about the complex interaction of key resources by presenting a salient analytic process. The empirical design, which portrays holistic interaction patterns, adds to the uniqueness of this study of the complex interlinkages between capabilities, resources and shareholder value.

Along their journey to achieve exponential growth, startups must process a vast amount of information and make quick decisions, reevaluate and adjust strategies and simultaneously redesign their organization along with the venture lifecycle. This paper delineates the evolution of startups' organizational design and identifies the influencing factors in every phase of the lifecycle.

This study adopts an explorative qualitative approach using a multiple case study methodology for six Indonesian startups. Indonesia is chosen as an emerging country in Southeast Asia with tremendous growth in digital startup businesses.

The research findings suggest that, as they experience exponential growth, startups strive to manage the tension between being structured and being flexible and hence remain innovative by combining management-centric and employee-centric approaches. In particular, this study identified three main factors that potentially influence the evolution of startups' organizational design: founders, investors and the characteristics of business and market.

The present study focuses mainly on Indonesian digital startups and does not fully explain how the influencing factors work in each phase of the venture journey.

This study offers practical contributions for startups pursuing business growth by focusing on the importance of balancing the tension between structured and flexible organizational design and placing more attention on founders, investors and business-market characteristics.

This empirical study is among the first to delineate nuances of organizational design evolution during the startup lifecycle by adopting an explorative qualitative method.

This paper aims to empirically investigate the typologies of phygital (synaeresis of “physical” and “digital”) customer experiences (CXs) that can arise in high-tech retail based on the intensity of consumers' responses and reactions to the stimuli triggered by firms. Moreover, it explores how firms attempt to shape the architecture of the phygital CXs. Notably, this article identifies the flexible and agile strategies implemented by firms to enhance the several typologies of phygital CXs, with the intention of better exploiting physical and digital features to respond to the differences in customers' needs, preferences and expectations.

This study performs an in-depth exploratory single-case study based on semi-structured interviews with the customers, managers and employees of the Webidoo Store.

This study develops a framework illustrating the main typologies of ordinary (“hostile”, “controversial” and “disappointing”) and extraordinary (“passionate” and “explorative”) CXs that can arise in phygital contexts. Also, it identifies some key flexible and agile strategies (“decompressive strategy”, “mentoring strategy”, “prompting strategy” and “entertaining strategy”) that companies might follow to adjust their offerings and respond quickly to the different forms of phygital CXs to create a more compelling experience tailored to customers' needs, preferences and expectations.

Among the study's limitations are the single-case study methodology and a specific setting like the Italian one. As a result, future studies could broaden the study to include other research contexts and countries. The paper offers significant managerial insights based on the many forms of CX across ordinary and extraordinary CXs. Thus, it provides critical takeaways for businesses to meet customer demand.

This paper analyzes the different typologies of ordinary and extraordinary CXs that could occur in phygital contexts based on the intensity of consumers' responses and reactions to firms' stimuli. Also, it explores how firms attempt to shape the architecture of the phygital CXs through flexible and agile strategies. From this paper, managers and decision-makers can reflect on successful strategies they could use to affect the stimuli to which customers respond in an agile manner, thus enhancing phygital CXs.

This study analyzes antecedents explaining the lack of resilience in family-owned firms. Our model suggests that family-owned firms’ strategic behaviors and heterogeneity explain a particular crisis outcome: a lack of recovery.

Our evidence is based on a sample of 842 European family-owned firms. We complement regression analysis results with fuzzy-set qualitative comparative analysis (fsQCA).

Our results show that lack of resilience is relevant. In fact, in our sample, 60% of family firms (FFs) failed to recover their sales. This evidence supports the role played by exploitation and exploration behavior as well as family heterogeneity in explaining the lack of recovery.

Our results may offer guidance to practitioners and policymakers on the pathways that explain the lack of resilience.

Although it is unlikely that an external crisis such as COVID-19 will occur again to the same extent, other threatening events may occur and impact FFs. Understanding how FFs can avoid non-recovery is crucial: it can inform managers on how to deal with stressful events and provide guidance to economic authorities on how to help FFs around the world avoid non-recovery, which affects the economy.

First, the study contributes to FF research by offering a theoretical explanation for the different effects of FF attributes on non-recovery in the context of a global crisis. Second, it contributes to the literature on organizational resilience by examining explorative and exploitative behaviors as antecedents of FF non-recovery. Third, we show the usefulness of combining fsQCA and regression analysis to understand complex phenomena.

本研究擬分析家族企業缺乏復原力的原因。我們的模型暗示了家族企業的策略性行為和異質性是可闡明一個特殊的危機後果：企業未能成功恢復。

我們的證據是建基於一個涵蓋842間歐洲家族公司的樣本。我們以模糊集質性比較分析，去補充迴歸分析的結果。

研究結果顯示，缺乏復原力是有相關性的。事實上，在我們的樣本裡，有百分之六十的家族企業未能恢復其銷售量。研究結果提供了證據，確認了若要闡明缺乏復原力的原因，我們必須瞭解開發和探索行為、以及家族異質性所扮演的角色。

我們的研究結果，或許可為從業人員和政策制訂者提供引導，幫助他們找出缺乏復原力的原因。

雖然像2019冠狀病毒病的外部危機以同樣的程度發生的機會是很微的，但其它有威脅性的事件或會發生，並會影響家族企業; 因此，瞭解家族企業如何能避免缺乏復原力的弊端是非常重要的。這可讓經理瞭解如何處理令人憂慮的事件，亦可為經濟事務當局的高層人員提供引導，幫助他們瞭解如何協助世界各地的家族企業，去避免影響經濟的復原乏力。

首先，本研究在家族企業的探討上作出了貢獻。研究人員在一個全球危機的背景下提出了理論解釋，讓人們明白家族企業的屬性，如何會對復原乏力產生各種影響。其次，本研究在探討組織彈性的文獻方面作出了貢獻，因研究人員對作為引發家族企業復原乏力因素的探索和開發行為、進行了探討和研究。最後，研究人員展示了若要瞭解複雜的事物或現象，把模糊集質性比較分析和迴歸分析結合起來運用是有效的。

Smart HR 4.0 is a new concept characterized by adopting innovative technologies of Industry 4.0 (I4.0) in the HR domain. This study attempts to identify the key factors of Smart HR 4.0 to foster organizational innovation ambidexterity.

Based on review of literature and survey from expert opinions by using the Delphi method, 12 factors were found most suitable for this study. Further, the fuzzy-TISM technique was used to establish contextual relationships and develop a hierarchical model on the identified factors. Subsequently, the MICMAC analysis was applied to classify these factors according to their driving and dependence power.

This study framed a conceptual hierarchical model of Smart HR 4.0 and established contextual relationships among identified factors. Result shows that smart organic structure, industry–institute interface, IT-enabled system and ambidextrous leadership are important factors as they have the highest driving power. Further, knowledge management, learning culture and psychological empowerment are the linkage factors having both driving as well as dependency power in the whole system.

This study can guide the managers in smoothly implementing these practices to manage their human capital amidst digital disruption, ensuring innovation competitiveness of the firm. The structural hierarchical framework of Smart HR 4.0 may serve as a blueprint for HR professionals and business leaders to attain organizational innovation ambidexterity in the current wave of digital disruptions (Industry 4.0).

This study provides a holistic model of smart HR 4.0 integrating innovation ambidexterity in I4.0.

This investigation seeks to elaborate on how proactive market orientation (MO) and responsive MO motivate firms to conduct business model innovation (BMI) through the breadth of market knowledge search (BMKS) and the depth of market knowledge search (DMKS).

Based on the survey data of 259 high-tech firms in the industrial parks of the Yangtze River Delta, this study uses multiple hierarchical regressions to examine the hypotheses and conducts Sobel and bootstrapping methods to further test the mediating effects.

The findings indicate that the positive effects of proactive and responsive MO on BMI are mediated by BMKS and DMKS. It also shows that proactive MO has a greater impact on BMKS than responsive MO, while responsive MO has a stronger impact on DMKS than proactive MO.

Firms with different MOs can choose different types of market knowledge search to promote BMI, which reminds managers to give attention to the importance of bridging MOs with knowledge search strategies in BMI.

This study introduces a constructive theoretical framework by examining the roles of MO and market knowledge search on BMI. The findings reveal that MO as a key initiating factor and market knowledge search as an important conduit play vital roles in the experimental process of BMI and identify the differential effects of proactive and responsive MO on two types of market knowledge search.

We conceptualized the novel phenomenon of COVID-induced virtual teams and its implications and provided researchers with the required information on how to conduct a phenomenon-based study for conceptualizing novel phenomena in relevant ways.

This article stems from phenomenon-based and, thus, theory-building and grounded qualitative research in the German industrial sector. We conducted 47 problem-centered interviews in two phases (February–July 2021 and February–July 2022) to understand how team members and team leaders experienced COVID-induced virtual teamwork and its subsequent developments.

Empirically, we found COVID-induced virtual teams to be characterized by a high relevance of shaping positive team dynamics via steering internal moderators; crisis is a novel external moderator and transformation becomes the key output factor to be leveraged. Work-from-home leads to specific configuration needs and interrelations between work-from-home and on-site introduce additional dynamics. Methodologically, the phenomenon-based approach is found to be highly suitable for studying the effects of such novel phenomena.

This article is explorative. Thus, we advocate further research on related novel phenomena, such as post-COVID-hybrid and work-from-home teams. A model of how to encourage positive dynamics in post-COVID-hybrid teams is developed and lays the groundwork for further studies on post-COVID teamwork. Concerning methodology, researchers are provided with information on how to conduct phenomenon-based research on novel phenomena, such as the COVID-induced virtual teams that we studied.

Companies receive advice on how to encourage positive dynamics in post-COVID teamwork, e.g. on identifying best practices and resilient individuals.

In a country such as Germany that faces labor shortages, our insights might facilitate better labor-market integration for those with care-work obligations and international workers.

We offer a first conceptualization of a relevant novel phenomenon, namely COVID-induced virtual teams. We exemplify the phenomenon-based approach as a suitable methodology that serves to build relevant theory using active categorization.