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This paper aims to identify the relationships of both organizational isomorphism and knowledge search with the innovation performance of cluster enterprises. It also specifies the mechanism by which organizational isomorphism affects innovation performance, through knowledge search.

Firm-level data were collected with questionnaires distributed to cluster enterprises in Zhejiang Province, China, which produced 165 usable responses for the analysis. Both multiple regression analyses and structural equation modelling were used to test the hypotheses.

Normative isomorphism and mimetic isomorphism have inverse U-shaped effects on the innovation performance of cluster enterprises, as does exploratory knowledge search. Exploitative knowledge search and the balance between two types of knowledge search have positive effects on the innovation performance of cluster enterprises; exploratory and exploitative knowledge searches exert partial mediation effects between the organizational isomorphism and innovation performance of cluster enterprises. The mediating effect of knowledge search transforms the inverse U-shaped effect of normative isomorphism and mimetic isomorphism on innovation performance into a positive effect.

This study provides new insights into the effects of organizational isomorphism on innovation performance by showing the indirect influence of organizational isomorphism in clusters. The study proposes a strategic logic of moderate isomorphism, clarifies the innovative effect of different knowledge search modes and reveals the construction and management mechanisms of organizational isomorphism and knowledge search strategy of firms in clusters.

According to behavioral research, aspirations influence a firm's search – exploitive and explorative – for solutions that satisfy a firm's goals. Yet, such goal seeking behavior is adaptive to a firm's past experiences and not to a manager's expectations of its firm's future. A manager's expectations are often explained in terms of their confidence in future events. The purpose of this study is to address the following research question: how does a manager's confidence influence its expectations of a firm's future performance and goals; and how do these future expectations influence a firm's exploitive/explorative search?

In drawing on cognition and legitimacy research, a conceptual model was developed to explain the antecedents and outcomes of a firm's “forward-looking” aspirations. The antecedents to a firm's forward-looking aspirations are attributed to a manager's overconfidence – anchoring, confirmation and availability – biases. In using strategic legitimacy explanations, these biases introduce distinct types of forward-looking (exploitive/explorative) search that legitimize/de-legitimize a manager's forward-looking aspirations.

A key finding of this study is that it introduces a strategic decision-making process in which a firm's exploitive/ explorative search is adaptive toward its forward-looking aspirations.

This forward-looking strategic decision-making process offers research implications to understand how a firm's future goals and expectations can offer new understandings of their past experiences and traditions and explains how a manager's overconfidence biases can influence the assessment of a firm's social aspirational groups.

In addition, this study also offers practical implications in which illustrative examples are used to explain this study's forward-looking strategic decision-making process.

A distinct contribution of this study is that it introduces a forward-looking orientation that has not been previously examined the backward focus of behavioral research.

This chapter attempts to reinvigorate scholarly interest in executive scanning by outlining a model to guide future research on executive search within the context of international strategy. Executive scanning has received considerable empirical attention but only limited theoretical attention. Most of this research has studied scanning as the receipt rather than the search for information. Based on the application of learning theory, we outline a model advancing two broad categories of executive search exploitative and explorative, consisting of six specific search behaviors. We advance search as integral to managerial decisions relating to the various aspects of internationalization, notably choice of location, corporate strategy, and mode of entry. The implications for future research are presented.

This paper aims to explore coopetition within the entrepreneurial ecosystem and answer the following two fundamental questions: How does coopetition affect the entrepreneurial learning and performance of startups? and What learning strategies should startups adopt to promote their growth in the coopetition activities?

Using the structural equation model and instrumental variable, this study used a sample of 371 startups to test the hypotheses. Data comes from startups in Jiangsu, Shanghai and Zhejiang, China.

This study finds that the coopetition-performance relationship of startups is marginally negative. This study also finds that exploitative learning and exploratory learning positively mediate this relationship. Ecosystem’s social capital can enhance the coopetition-exploration relationship, but the coopetition-exploitation relationship is not affected.

Many studies propose that the coopetition-performance relationship is ambiguous, which makes it meaningful to explore startups individually. Based on the resource-based view and the knowledge-based view, this study deepen the works of Bouncken and Fredrich (2016c), that is, how startups can learn and grow through coopetition activities. This study proposes that coopetition is one of the foundations of the ecosystem and explore the coopetition-performance relationship in this special context. Thus, the present paper adds to the budding literature on the effects of the entrepreneurial ecosystem and to the literature on coopetition.

The purpose of this paper is to study the self and vicarious learning patterns of organizations through operational success and benchmark failure experiences. The study is specific to the Indian telecom sector.

This study uses published data of four major telecom firms in India reported by Telecom Regulatory Authority of India (TRAI) and analyzed the influence of aspiration performance discrepancy on organizational learning by hypotheses testing. Feasible generalized least square model with year fixed effects is used to run panel data regression.

In the case of operating experience for performance above aspiration, firms fail to learn from their own experience as well as from others’ experiences. For benchmark failure experience under positive discrepancy, firms learn from their own experience. For performance below aspiration, no significant result was found. These insights allow managers to reconfigure their learning orientation and to develop an effective mechanism for absorbing crucial knowledge from themselves and peer firms.

Practitioners should take into account that their knowledge repertoire is essential for learning in good times. This study also motivates managers involved in operating activities to make use of publicly disclosed reports, engage in vicarious learning or form a coalition for developing coping mechanism under negative discrepancy scenarios.

This paper presents a unique context by studying operational success, and failure experiences of telecom sector in India wherein benchmark for failure was decided by the governing regulatory body, TRAI, unlike other studies where success and failures reference points are intrinsically selected.

This study examines the effects of organizational attention on technological search in the multibusiness firm. We argue that attentional specialization and coupling, or (respectively) attention given to problems within and across units, affect a unit’s ability to engage in distant and local search by shaping how problems are perceived and addressed. We test this theory by applying a probabilistic topic model to all Motorola patents issued from 1974 to 1997, thus identifying and measuring attention to technical problems. Our results suggest that (a) subunits with specialized attention are not myopic but instead explore broadly and (b) tight attentional coupling across units increases the breadth of search. This study contributes to attention-based views of the firm and to studies on organizational design and search.

To address the gap of divergent conclusions on the impact of knowledge search (KS) on performance, this paper aims to discuss the nonlinear relationships between KS and reverse internationalization enterprise (RIE) performance, and the co-moderation of causation and effectuation (C&E) on KS–performance.

The proposed theoretical model is developed by integrating the theory of knowledge-based view and decision rationality theory. The empirical study is based on survey data collected from 245 RIEs of the Yangtze River Delta and Pearl River Delta regions in China. Hierarchical multiple regression and the appropriate U-test method are used to test the hypotheses.

Empirical results suggest that both focused and multi-focus searches have inverted U-shaped effects on RIE performance. Furthermore, causation weakens the curvilinear effect between multi-focus search and RIE performance, whereas effectuation strengthens the curvilinear effect but weakens the inverted U-shaped relationship between focused search and RIE performance. Results also indicate that the integration of C&E positively moderates the relationship between focused or multi-focus searches and RIE performance.

Findings reveal the nonlinear effects of focused and multi-focus searches on RIE performance and clarify the dispute over the mechanism of KS on performance by proposing the different moderating role of C&E. Moreover, this research provides deeper insight into contingency mechanisms between KS and performance by integrating the co-moderating role of C&E in RIEs.

Technical knowledge is a key factor in firm innovation. This study aims to construct a theoretical framework of technological boundary-spanning search, exploratory innovation and exploitative innovation to help firms adjust their search strategies and improve the effect of external resources on internal innovation.

The study uses questionnaires to collect data and conducts empirical analysis using SPSS25 and AMOS24.

Technological boundary-spanning search is positively correlated with ambidextrous innovation. Additionally, knowledge base positively moderates the effect of technological boundary-spanning search on ambidextrous innovation and knowledge distance negatively moderates the effect of technological boundary-spanning search on ambidextrous innovation. When a firm’s knowledge base is robust, its ambidextrous innovation can benefit more from technological boundary-spanning search. Additionally, when the knowledge distance is less, a firm’s ambidextrous innovation can benefit more from technological boundary-spanning search.

Considering organizational ambidexterity, this study divides firm innovation into exploratory innovation and exploitative innovation and presents a theoretical framework for the effect of technological boundary-spanning search on ambidextrous innovation. Additionally, it provides a comprehensive understanding of the crucial roles of knowledge base and knowledge distance in the relationship between technological boundary-spanning search and exploratory and exploitative innovation.

Drawing upon upper echelon, regulatory focus and attention theories and focusing on SMEs, the purpose of this paper is to answer questions on how the motivational disposition (promotion vs. prevention regulatory focus) of CEOs affects their information search patterns (i.e. search selection and intensity) and consequently organizational level engagement in different types of innovation activities (exploration vs. exploitation).

A quantitative study was conducted collecting data from the CEOs of SMEs operating in the dynamic wine and spirits industry in Greece. The data were collected in two independent time streams and the proposed theoretical model was tested by applying OLS regression analysis.

The current research provides evidence that differences in CEOs’ level of promotion and prevention focus trigger different information search selection and search intensity patterns. Nonetheless, the attention to innovation components act as mediators only in the hypothesized relationships between a CEO's level of prevention and promotion focus and exploration. Paradoxically, filtered through attention to innovation and triggered from the same motive, that is to reduce negative emotions, promotion focus CEOs choose to direct resources to exploitation and avoid investing in exploration, whilst the opposite was supported for prevention focus CEOs.

The results highlight the important role of a CEO's regulatory focus orientation in promoting diverse attention to innovation patterns and firm-level innovation tendencies towards exploration and/or exploitation.

This study's contributions extend and combine the theories of regulatory focus, UET and attention in the field of managerial/entrepreneurship behavior and innovation. Therefore, they are valuable for understanding the determinants of firm-level innovation choices (exploration vs. exploitation) in SMEs.

The purpose of this paper is to address the conflicting views on the role of bottom‐up learning; this research combines the information‐processing and organizational inertia views to explore how bottom‐up learning affects both exploratory and exploitative innovations and if the effects are contingent on organizational formalization.

Data for this study are obtained through an interview survey instrument from 213 firms. The questionnaire is adopted from several previous studies on organizational learning, structure and innovation with minor translation adjust. A pilot test was conducted and necessary modifications were made to the questionnaire. Tests show that the sampling validity is not biased by non‐response bias and the measure reliability and validity are acceptable. Furthermore, Harman one‐factor and CFA tests show that the results should not be biased by common method bias. The multicollinearity is also tested and controlled during regression analysis.

The findings show that bottom‐up learning has accelerated positive effect on exploitative innovation while having an inverted U‐shaped effect on explorative innovation. Furthermore, the organizational formalization strengthens the positive effect of bottom‐up learning on exploitative innovation and the U‐shaped effect on exploratory innovation.

The paper contributes to organizational inertia and information‐processing theories by providing a complete picture on how firms built exploitative and exploratory innovations through bottom‐up learning aligned with appropriate organizational structure.