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Different external supply scenarios faced by the retailers will affect their choice of strategy when supply is disrupted and becomes far less than demand, urgently. This study focuses on analyzing both demand and supply side response strategies to meet customer demand and reduce the impact of the shortage during supply disruptions.

According to the quantity of products that the external market can provide, the external supply scenarios were divided into sufficient-type external supply and learning-type external supply. A two-echelon perishable goods supply chain was analyzed, and three kinds of contingency strategy models for downstream retailers were investigated. First, in the sufficient external supply scenario, the optimal price and transshipment quantity to maximize retailer's profits is discussed. Second, in the scenario of learning-type external supply, this study analyzes the optimal decision in three mechanisms of the hybrid strategy and their application: price priority mechanism, quantity priority mechanism and price–quantity balance mechanism. Furthermore, the influence of penalty cost and supply on the priority orders of different mechanisms was studied.

Results show that comparing the two pure strategies (pricing strategy and transshipment strategy)it was noted that the hybrid strategy produces the best results in sufficient-type external supply scenario. In the learning-type external supply scenario, a numerical study has shown the existence of three areas in case of penalty cost and supplier's capacity, and each areas has different priority orders of the three mechanisms. Under the situation of learning external supply, the retailer's optimal strategy is affected by parameters such as penalty cost and supply volume.

The main innovation of the work lies in the following: First; the external supply situation was divided into sufficiency type and learning type, which improves the external situation faced by retailers after the outbreak of emergencies, helps retailers understand the external situation, conforms to the actual situation and has certain practical application value. Second; in the context of learning external supply, there are three coping strategies for retailers, including: Price priority mechanism, Quantity priority mechanism and Pricing and transshipment balance mechanism. This will help retailers make strategic choices, make more scientific management decisions and improve the supply chain emergency management theory. Third; the demand side response was managed through the change of external supply during supply side recovery period and supply disruption. The proposed model enables managing and analyzing supply disruption efficiently and effectively via handling uncertainty by considering all aspects of decision-making process. The proposed model can be applied in various fields such as vegetable and fruit, fresh food, etc.

The purpose of this paper is twofold: first, to analyze which policies of human resource management (HRM) contribute to exploratory learning and which to exploitation learning; and second, to determine the influence of the two types of learning on organizational performance.

The research hypotheses are tested by partial least squares with data from a sample of 100 Spanish hotels.

The results confirm that, in order of importance, selective staffing, comprehensive training and an equitable reward system lead to exploratory learning. Exploitative learning seems to be fundamentally driven by comprehensive training and an equitable reward system (but in a different way than with exploratory learning). Finally, both types of learning have a positive impact on performance.

Both exploratory and exploitative learning result from HRM practices. To maintain performance expectations managers should develop both learning types, which entails the utilization of the best HRM practices.

This study presents empirical evidence around the findings of other studies (Laursen and Foss, 2014; Minbaeva, 2013) which call for further research into whether strategic HRM configurations have positive effects on the two learning types. The results find some practices that have a positive effect in both cases, but with different intensities in their explanations. This finding reveals the need for more detailed exploration around which combinations of HRM practices, in terms of exploratory vs exploitative learning, are advisable for organizations. The study also finds that the two learning types have a positive influence on organizational performance.

This paper aims to provide a comprehensive understanding of the supply chain learning (SCL)–performance relationship based on the existing empirical evidence.

We sampled 54 empirical studies on the SCL–performance relationship. We proposed a conceptual research framework and adopted a meta-analytical approach to analyse the SCL–performance relationship.

The results of the meta-analysis confirm the positive effects of SCL on the performance of both firms and supply chains. In addition, building on the knowledge-based view, we found that learning from customers has a stronger positive effect on performance than does learning from suppliers, while joint learning has a stronger positive effect on performance than does absorptive learning. Business knowledge had a greater effect on performance than did general knowledge, process knowledge or technical knowledge, while explicit knowledge had a stronger effect than tacit knowledge. Moreover, the SCL–performance relationship is moderated by performance measure and industry type but not by regional economic development, highlighting the broad applicability of SCL.

This study is the first meta-analysis on the SCL–performance relationship. It differentiates between learning from customers and learning from suppliers, examines a more comprehensive list of performance measures and tests five moderators to the main effect, significantly contributing to the SCL literature.

The purpose of this paper is to present an overview of the articles presented in the special issue “Entrepreneurial learning dynamics in knowledge-intensive enterprises.” The special issue is inspired by recent research on entrepreneurial learning dynamics in knowledge-intensive enterprises literature. The aim is to extend and consolidate this emerging research area exploring entrepreneurship as a never-ending dynamic learning process, as well as, to cross-fertilize entrepreneurship and organizational learning studies.

The paper is based on a literature and published document review, experiential reflections and argument.

The paper reveals an integrative framework to highlight the breath of entrepreneurial learning research according to different level of analysis: the context where learning happen, the different typologies of entrepreneurial learning processes, the ontological levels at which learning can occur and the different typologies of entrepreneurial learners. Continuous learning processes allow entrepreneurs to develop and grow, as well as, enable knowledge-intensive enterprises to engage in strategic renewal processes.

Although, entrepreneurial learning research so far has focused on applying existing theories in the entrepreneurial context, more research is needed to broaden the perspective and understanding how entrepreneurial learning can help to face key entrepreneurship’s challenges in different context.

The paper presents an holistic approach of current entrepreneurial learning research and encourages researchers to explore how different learning types come into play in different entrepreneurial contexts (start-up initiatives, strategic renewal in incumbent enterprises, ventures development and growth).

This paper aims to examine the dynamic process of knowledge creation of the international new venture (INV) through the interaction with network partners. The process of how INVs make use of external sources for the acquisition of international market knowledge is not well-understood.

To uncover the dynamics of the knowledge creation process, the authors applied event-driven process research by following the internationalization process of four INVs in real time. More specifically, they adopted qualitative diary research combined with periodic follow-up interviews as the main data collection method. A visual mapping strategy was used for the analysis of the process data.

The analysis shows that different pathways of knowledge acquisition through congenital learning, searching, vicarious learning and grafting interact with each other. Grafting and experiential learning alongside the partner lead to the acquisition of internationalization knowledge in particular. Knowledge sources for international market knowledge are proactively created by the entrepreneurs. The wider effectual stakeholder network constitutes an important source for international market knowledge.

The authors followed the early internationalization process of the case firm in real time over a 10-month period. This provides a limited window of observation. Future research might extend the observation period to examine further the evolutionary nature of the different learning types throughout the growth of the INV. The case firms operate in Internet-enabled businesses and are all located in the same country and city (i.e. Colombia and the city of Medellin). Future studies might focus on firms operating in different industries and geographical areas.

Congenital technological knowledge is a prerequisite for internationalization. The entrepreneur, however, does not need to rely on congenital international market knowledge. Such knowledge can be developed through network partners. Foreign business and institutional knowledge can be obtained vicariously, also from professional advisors. Internationalization knowledge, however, needs to be developed in close interaction with an international cooperation partner, where a strong relationship commitment prevails.

The authors use effectuation theory combined with process research methods to gain insights into the dynamics of knowledge creation within the INV. Thereby, they are able to shed light on the dynamics of the process that is difficult to capture through cross-sectional research designs. Research on the internationalization process of young ventures in the context of Latin America is scarce. Therefore, the paper contributes new knowledge about the development of these firms in that particular region.

With the growing need for employees to be innovative, public-sector organizations are investing in employee training. This study aims to examine the effects of a combined Lean Six Sigma and innovation training, using action learning, on public-sector employees’ creative role identity and innovative work behavior.

The authors studied a public service agency in Singapore in which a five-day Lean Innovation Training was implemented, using a combination of Lean Six Sigma and Creative Problem-Solving tools, with a simulation on day one and subsequent team-based project coaching, spread over six months. The authors administered pre- and postintervention surveys among all the employees, and initiated group interviews and observations before, during and after the intervention.

Creative role identity and innovative work behavior had significantly improved six months after the intervention, enabled through senior management’s transformational leadership. The training induced managers to role-model innovative work behaviors while cocreating, with their employees, a renewal of their agency’s core processes. The three completed improvement projects contributed to an innovative work culture and reduced service turnaround time.

Starting with a role-playing simulation on the first day, during which leaders and followers swapped roles, the action-learning type training taught all the organizational members to use various Lean Six Sigma and Creative Problem-Solving tools. This nimble Lean Innovation Training, and subsequent team-based project coaching, exemplifies how advancing the staff’s creative role identity can have a positive impact.

The purpose of this paper is to understand the role of heterogeneous strategies for new knowledge development in the internationalization processes of firms.

A typology of international learning strategies is developed. The typology is supported by a case study of seven Swedish international firms that show heterogeneous strategies. The case study suggests links between learning strategies and international growth.

The results suggest an international learning-strategy typology derived from extant theory on knowledge acquisition in internationalization, constituted by four types: Passive Learners, Endogenous Learners, Exogenous Learners, and Diversified Learners. The results further suggest that the typology is empirically relevant and, moreover, suggest a potential heterogeneity in outcomes for these strategies. The study suggests that there is a link between learning strategy and outcomes in terms of growth and international sales distribution.

The strategy for how firms learn when internationalizing has implications for the firm's international growth. The case-study design has limitations for generalizability and future quantitative validation is called for.

Managers need to be aware of the consequences of their learning strategy for the internationalization performance. This study informs strategic decision making for how to learn from international markets.

The results suggest a typology based on heterogeneity of international learning strategies and their consequences for internationalization.

The purpose of this paper is to explore the learning dynamics in the local level public organizations due to a policy intervention in collaboration with university. This study aims to identify the existence of four different types of organizational learning in different localities and to explain their implications to public sector organizations as well as private firms.

The paper used both the secondary data collected for over a period of more than four years and quantitative analysis for parameter estimation. It also collected the primary data by deploying a semi‐structured survey instrument for their collection. Two sets of data were triangulated to derive the learning types.

The study measured the presence of a learning environment that was hypothesized to influence the degree of organizational learning and evaluated learning variations as approximated by the penetration rate in local departments of social services. Evidence was found of differential, dispersed, and intermittent learning in various localities. That differential learning was labeled as conscious, façade, unaware, and absent learning. Organizations should strive to achieve conscious learning and minimize undesirable situations created by the façade and absent learning.

Since the results are derived from the study of one state, Virginia, and one policy area, foster care, they may not be fully applicable to other states and other policy areas without some modifications. The implication of the study, however, is that even similar stimuli are bound to produce differential responses when local conditions vary.

The paper presents a refreshing insight into varieties of organizational learning derived from the study of local level public sector organizations and triangulation of two different sets of information.

The aim of this paper is to propose a mapping framework for evaluating supply chain learning potential for the context of small‐ to medium‐sized enterprises (SMEs).

The extracts of recently completed case based research for ten manufacturing SME units and facts reported in the previous research are utilized for the deduction of proposed framework. Initially, 25 learning factors were extracted from the literature which were related to various learning characteristics of SMEs. This helped to develop a mapping framework comprising 55 arguments for evaluating supply chain learning potential/penetration in SME organizations.

An application of the mapping framework is demonstrated for two case organizations.

The framework will help SME managers to identify weak areas in their supply chain and adopt learning and knowledge management perspectives to improve upon select dimensions, such as customer responsiveness, flexibility, inventory management and lead time issues through better supply chain planning, coordination and information sharing.

The proposed framework integrates the insights reported in three different bodies of knowledge, such as organizational learning, supply chain planning and small and medium scale enterprises, and hence can be seen as a unique supply chain evaluation template for the case of SMEs.

Given the competitive environment and complicated relationships in supply chains in the modern era, it is important to take into account internal and external risks. In addition, proper methods must be designed to evaluate these risks correctly. The purpose of this paper is to provide a suitable map based on the artificial neural network technique to assess and classify the risk levels of retailers who have interconnected rules in the downstream of the supply chain.

In this research, a model for risk assessment with a hexagonal grid and 2D self-organizing map was applied.

According to the results, the model used in the study can provide a basis for classification of retailers based on the specified risk levels defined by the experts and risk managers of the company. Also with the model’s visual output, managers can have a better understanding of the distribution of the risk level of retailers.

The proposed methodology can be adopted by managers to assess the risk of members involved in the supply chain, helping them to formulate the risk mitigation strategies based on the risk levels.

As a part of the risk management process, organizations can use this developed method to reduce the existing risks imposed by the members or customers on the company.