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The purpose of this paper is to examine how the instructions of the lean startup methodology influence entrepreneurs. It explores what happens when such instructions are enacted by entrepreneurs in the context of a “prescriptive accelerator”. The goal is to shine a light onto the mechanisms by which these instructions are acquired and then utilised by entrepreneurs and to outline in some detail the implications of adhering to the lean startup methodology.

This paper employs an in-depth phenomenological semi-structured interview design. Two rounds of interviews were conducted, one at the beginning and one at the end of the programme with the CEOs and founders of 11 entrepreneurial ventures, totalling 22 interviews. The analysis of the interviews resulted in five second-order themes that are discussed in light of the processes of experiential and vicarious learning.

The findings suggest that through two distinct modes of vicarious and experiential learning, the instructions of the lean startup methodology are acquired, internalised and consequently put into practice by entrepreneurs. The paper further highlights the modifications to entrepreneurs’ governing variables and action strategies, as well as the resulting consequences of these modifications. This provides insights into possible outcomes of following the lean startup methodology in the context of a prescriptive accelerator where a strong focus on adhering to a systematic entrepreneurial methodology is a characteristic feature.

This paper contributes to our understanding of the under-studied and novel phenomena of the lean startup methodology and prescriptive accelerators. It complements the prevailing understanding of entrepreneurial learning as being largely experiential by accounting for the vicarious learning processes that occur in pedagogical settings such as prescriptive accelerators. It therefore shows that prescriptive accelerators provide unique learning situations where the combination of vicarious and experiential learning impacts the business development activities. Further, it provides a model of entrepreneurs’ theory of action as the outcome of the interactions between the lean startup methodology and the two modes of vicarious and experiential learning.

In crowdsourcing contests, the capabilities and performance of individual workers (solvers) determine whether seeker firms can obtain satisfactory solutions from the platform. It is noted that solvers may learn such skills in crowdsourcing from doing (experiential learning) or observing (vicarious learning). However, it remains unclear if such learning can be materialized into improved performance considering the unique settings of crowdsourcing contests. The study aims to understand how experiential learning and vicarious learning enhance solver performance and under what conditions.

The model was tested using survey and archival data from 261 solvers on a large contest platform in China.

Results support the premise that experiential learning and vicarious learning separately and jointly enhance solver performance. Moreover, perceived task uncertainty strengthens the effect of vicarious learning but weakens the effect of experiential learning, whereas perceived competition uncertainty weakens the effect of vicarious learning.

The current study enriches the understanding of the impacts of experiential learning and vicarious learning and offers a more nuanced understanding of the conditions under which solvers can reap the performance benefits from learning in crowdsourcing contests. The study also provides practical insights into enhancing solver performance under perceived task uncertainty and perceived competition uncertainty.

Home-peer firms (i.e. firms from the same industry and country) noticeably influence the internationalization behavior of small-to-medium-sized enterprises (SMEs). Drawing from vicarious learning literature, the authors theorize how home-peer firms' success in export markets affects SMEs' export intensity into those markets.

The authors test the hypotheses on a sample of 32,108 Canadian SME exporters. A Tobit model was used to examine the effect of home-peer performance and its interactions with firm age, export experience, and geographic and institutional distance on export entry intensity.

The authors find that SMEs are more likely to enter export markets with higher intensity if home-peer firms perform well in those markets. This home-peer influence is stronger when the SME lacks export experience, when the home-peer information is more recent, and when environmental uncertainty is high.

The study is among the first to show empirically that the performance of home-peers positively influences the export intensity of SMEs in international markets, suggesting that SMEs use this measure to inform their internationalization strategies.

A fundamental assumption within action learning is that learning only occurs through participation, reflection and action. Revans maintains that individuals will fail to understand the “how” of an experience until they have experienced it for themselves, i.e. “learned by doing”. The purpose of this paper is to postulate that Revans’ second phase of action learning, the reflection phase can, in situations where participation is not possible, be enhanced through reflective vicarious learning (RVL) or learning from the behaviour of others.

This paper adopts a desk research approach review of the literature.

The authors maintain that Revans’ concept of “learning by doing” in the context of the goldfish bowl exercise can enhance an individual’s insight through RVL or learning from the behaviour of others.

The paper is limited in some respects as it focusses on the viewpoint of the author coupled with the literature. Future research could explore participant voices to add an extra dimension to the work.

In terms of utility for others, this paper is useful for developing an understanding of the differing learning opportunities that RVL and action learning combined can offer. As such, it has meaning for action learning facilitators, set members, academics and educational consultants.

This papers originality is that it seeks to enhance Revans’ proposition by illustrating how RVL in the second phase of action learning can enhance an individual’s learning in situations where participation is not possible.

This paper aims to examine how distinct sequences of organizational learning types (experiential and vicarious) underpin processes of exploratory versus exploitative innovation.

Data collection consists of 16 interviews conducted with senior personnel at two firms in the biopharmaceutical sector, with sequences of organizational learning types derived from the associated innovation projects. These sequences and their differential emphases on experiential or vicarious learning are used to construct a conceptual model. Propositions describe the structural differentiation and integration mechanisms useful to foster organizational ambidexterity.

Technological brokering emerges as a key means by which organizations can reconcile the learning sequences underlying exploration and exploitation. For exploration, a structure incorporating cross-industry technology brokerage during the initiation and development phases of innovation is posited. For exploitation, a structure harnessing intra-industry technology brokerage during the development phase of innovation is suggested. Integration of these projects can be accomplished through cross-unit interfaces incorporating both types of brokerage roles, with emphasis on their use during implementation.

This paper considers the ways in which organizations focus on separate types of organizational learning at different stages of the innovation process. Insights are provided into how firms mobilize internal and external knowledge to advance these projects independently, as well as to link these efforts and thereby facilitate ambidexterity.

This study investigates the processes that the US universities and colleges used to learn during the COVID-19 pandemic and the factors that facilitated and impeded their learning processes.

To address this study’s research questions, this study used a crisis communication and learning lens to interview crisis response team members from 30 US higher education institutions in May 2020 (the first pandemic semester). In October 2020 (the second pandemic semester), this study conducted follow-up interviews with 25 of the original interviewees. Overall, this study conducted 55 interviews.

Learning during the COVID-19 pandemic is facilitated by a recognition of a serious deficiency in the current system and impeded by the need to act quickly. The findings demonstrate the process by which decisions, actions and strategies emerged during crises.

This investigation illustrates how crises can prompt organizational learning while demonstrating the critical role of internal and external resources in the learning process.

This study aims to examine some of the benefits and drawbacks of communication visibility. Specifically, building on communication visibility theory, the authors study how and why message transparency and network translucence may increase knowledge reuse and perceived overload through behavioral responses of vicarious learning and technology-assisted supplemental work.

Drawing on survey data obtained from 1,127 employees of a global company operating in the industrial machinery sector, the authors used structural equation modeling to test the hypothesized model.

The results demonstrate that the two aspects of communication visibility yield somewhat differential benefits and drawbacks in terms of knowledge reuse and communication overload, through vicarious learning and supplemental work practices.

The results demonstrate the relationship between different aspects of communication visibility and knowledge reuse, specifically through vicarious learning. Furthermore, the findings highlight a potential drawback of visibility – communication overload – specifically through technology-assisted supplemental work. Overall, network translucence seems more beneficial compared to message transparency in terms of knowledge reuse and communication overload.

The study connects with recent work on communication visibility by distinguishing differential direct and indirect effects of message transparency and network translucence. It also extends this work by testing relationships between communication visibility and a potential drawback of visibility – communication overload – specifically through technology-assisted supplemental work.

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.

Organisations must build resilience to be able to deal with disruptions or non-routine events in their supply chains. While learning is implicit in definitions of supply chain resilience (SCRes), there is little understanding of how exactly organisations can adapt their routines to build resilience. The purpose of this study is to address this gap.

This paper is an in-depth qualitative case study based on 28 interviews across five companies, exploring learning to build SCRes.

This study uncovers six learning mechanisms and their antecedents that foster SCRes. The learning mechanisms identified suggest that through knowledge creation within an organisation and knowledge transfer across the supply chain and broader network of stakeholders, operating routines are built and/or adapted both intentionally and unintentionally during three stages of a supply chain disruption: preparation, response and recovery.

This study shows how the impact of a supply chain disruption may be reduced by intentional and unintentional learning in all three disruption phases. By being aware of the antecedents of unintentional learning, organisations can more consciously adapt routines. Furthermore, findings highlight the potential value of additional attention to knowledge transfer, particularly in relation to collaborative and vicarious learning across the supply chain and broader network of stakeholders not only in preparation for, but also in response to and recovery from disruptions.

This study contributes novel insights about how learning leads both directly and indirectly to the evolution of operating routines that help an organisation and its supply chains to deal with disruptions. Results detail six specific learning mechanisms for knowledge creation and knowledge transfer and their antecedents for building SCRes. In doing so, this study provides new fine-grained theoretical insights about how SCRes can be improved through all three phases of a disruption. Propositions are developed for theory development.

International businesses play a significant role in the growth, innovation and survival of technology-based firms (TBFs). Creating new opportunities in international markets, using communication networks and confronting constraints on available resources have distinguished the internationalization of small and medium-sized enterprises (SMEs) and intensified the importance of knowledge acquisition and continuous learning. This study aimed to (1) configure (the types and sources of) and (2) measure the internationalization knowledge of TBFs, by focusing on a knowledge-intensive part of the health industry in an emerging country: Iranian advanced medical equipment companies.

For this purpose, a qualitative approach was adopted to interview the leaders of eight TBFs exporting medical equipment. Obtained data were investigated using content analysis.

According to the content analysis results for configuration, technological knowledge and market knowledge were mainly obtained through direct experience and vicarious learning; however, internationalization knowledge is not so established as the third major knowledge area to integrate technological with market knowledge in line with corporate strategies of an internationalizing firm. For measurement of knowledge assets of internationalizing firms as a prerequisite for continuous improvement, several intellectual capital indices were extracted, including human, structural and relational capital.

This research complements existing literature in internationalization knowledge configuration via deploying an "Intellectual capital" perspective. It could enhance efforts for improving the learning of internationalizing SMEs, especially in the developing countries.