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This paper aims to understand why higher education institutions (HEIs) struggle to become sustainable institutions themselves despite providing relevant teaching and research on sustainability.

Using 17 open-ended, semistructured interviews to determine common themes (codes) regarding sustainability, the authors mapped those codes to the adaptive cycle from social innovation theory.

Using the adaptive cycle offered a framework for understanding sustainability at HEIs as a cyclical process where innovation occurs in ebbs and flows. Differing perceptions of power by students and faculty slow down the process, and cross-collaboration is the key to further sustainability.

Insights from the adaptive cycle can contribute to HEI assessment of its sustainability initiatives by identifying the stage of the adaptive cycle relevant to the institution’s present sustainability work.

Applying the adaptive cycle is an original way of understanding the process of anchoring sustainability at HEIs providing concrete insights into advancing this process.

The relationship between industrial policy and exploratory innovation is imperfect.

The authors use Chinese high-tech enterprise identification policy (HTEP) as a natural experimental group to test policy impacts, spillover effects and mechanisms of action.

First, HTEP promotes exploratory innovation. In addition, HTEP has a greater impact on non-exploratory innovation. Second, HTEP has spillover effects in two phases: HTEP (2008) and the 2016 policy reform. HTEP affects exploratory innovation in nearby non-high-tech firms, and the policy effect decreases monotonically with increasing distance from the treatment group. Third, HTEP affects innovation capacity through financing constraints, technical personnel flow and knowledge flow, which explains not only policy effects but also spillover effects. Fourth, the analysis of policy heterogeneity shows that the 2016 policy reforms reinforce the positive effect of HTEP (2008). By deducting the effects of other policies, the HTEP effect is found to be less volatile. In terms of the continuity of policy identification, continuous uninterrupted identification has a crucial impact on the improvement of firms’ innovation capacity compared to repeated certification and certification expiration. Finally, HTEP has a crowding-out effect in state-owned enterprises and large firms’ innovation.

This paper contributes to the existing literature in several ways. First, the authors enrich the literature on industrial policy through exploratory innovation research. While previous studies have focused on R&D investment and patents (Dai and Wang, 2019), exploratory innovation helps firms break away from the inherent knowledge mindset and achieve sustainable innovation. Second, few studies have explored the characteristics of industrial policies. In this paper, the authors subdivide the sample into repeated certification, continuous certification and certification expiration according to high-tech enterprise identification. In addition, the authors compare the differences in policy implementation effects between the 2016 policy reform and the 2008 policy to provide new directions for business managers and policy makers. Third, innovation factors guided by industrial policies may cluster in specific regions, which in turn manifest externalities. This is when the policy spillover effect is worth considering. This paper fills a gap in the industrial policy literature by examining the spillover effects. Finally, this paper also explores the mechanisms of policy effects from three perspectives: financing constraints, technician mobility and knowledge mobility, which can affect not only the innovation of beneficiary firms directly but also indirectly the innovation of neighboring non-beneficiary firms.

The authors warn of an emerging competitive crisis. Multinationals are disrupting competitors and pioneering new price points and applications in the developed world with low‐cost offerings created for rapidly developing economies. This paper aims to address this issue.

The paper explains how smart low‐cost players invest in true innovation targeted at the large, low‐income segments of the population.

The paper charts a process for implementing low‐cost innovation.

Corporate leaders too often underestimate the power of low‐cost models to affect their business and wrongly focus their innovation on new products that are more sophisticated, and, thus, more expensive than the models they replace.

A low‐cost innovation might cannibalize some of your current profit, but, most likely, it will also expand your market scope in a significant way.

This paper aims to highlight the nature of strategic learning in Bollywood, India's Hindi Film Industry. Film making is an art that requires continuous learning as a prerequisite to creativity and innovation. Improved competitive performance goes beyond operational organisational learning into strategic learning. This research investigates the extent to which strategic learning, as opposed to operational learning, is taking place within film making organisations operating in the Bollywood setting.

The research was conducted through two descriptive case studies of production houses in Bollywood using semi‐structured observations and interviews with producers and directors in the case study sites. Data are analysed using techniques of interpretive “illuminative evaluation”.

The research suggests that the current frame of film making at Bollywood is stuck in a learning trap, in that organisational learning tends to be adaptive not generative and leads only to technical innovation. There has been no change in the paradigm of film making from one rooted in the past and the present, in terms of India's history, social and political context, to one looking to the future. For this paradigm shift to take place a future vision is proposed in the form of strategic learning and innovation, allowing Bollywood to go beyond the domestic Indian market and make a contribution to world cinema by breaking away from its current formulaic approach to film making. These findings also have implications for other management learning and practice contexts.

Although this research is limited to Bollywood, it has implications which potentially go beyond it in the form of a new frame as described above, and also for the organisational learning literature which has tended to focus on learning in general, rather than differentiating between operational learning and strategic learning; whereas operational learning can improve production processes, strategic learning depends upon creativity and innovation as the basis of improved competitive performance.

The paper concludes that the research site is trapped within its current frame of learning and, in order to break away from it, it must embrace strategic learning to move beyond the traditional loops of organisational learning. The practical implications of the paper lie in furthering the understanding of the nature of strategic learning in a creative industry, which may, in turn, shed new light on strategic learning within similar contexts.

The originality of the research stems from the focus on strategic learning and a new site for its exploration in the form of the Bollywood setting. Furthermore it extends understanding of the organisational factors affecting the status of strategic learning in organisations.

The authors analyse a growth model to explain how economic fluctuations are primarily driven by productive capacities (i.e. capacity utilization driven by innovations and know-how) and productive inefficiencies.

This study’s methodology consists of the combination of the economic growth model, à la Solow–Swan, with a sigmoidal production function (in capital), which may explain growth, poverty traps or fluctuations depending on the relative levels of inefficiencies, productive capacities or lack of know-how.

The authors show that economies may experience economic growth, poverty traps and/or fluctuations (i.e. cycles). Economic growth is reached when an economy experiences both a low level of inefficiencies and a high level of productive capacities while an economy falls into a poverty trap when there is a high level of inefficiencies in production. Instead, the economy gets in cycles when there is a large level of the lack of know-how and low levels of productive capacity.

The authors conclude that more capital per capita (greater savings and investment) and greater productive capacity (with less lack of know-how) are the economic policy keys for an economy being on the path of sustained economic growth.

The purpose of this paper is to propose a comprehensive framework that delineates how human resource (HR) practices are differentially configured for exploitative and explorative innovation as well as how the sets of HR practices support these two types of innovation.

Based on the structural ambidexterity approach and a bottom-up process in the multilevel theories, this research derives the need for the differential managerial structures for exploitation and exploration at the unit level. In addition, the Input–Process–Outcome model of team effectiveness and multilevel theories are employed to discuss the internal nature (e.g. resources, work styles) of exploiting and exploring units. Finally, building on strategic HR management literature, this research configures exploitation-targeted and exploration-targeted HR systems and delves into how these differentiated HR systems generate differential inputs of human capital resources and thereby foster exploitative and explorative innovation processes.

This research proposes several factors for exploitation and exploration, including: necessary inputs (i.e. commitment, narrowness, and cohesion for exploitation vs thoughtfulness, breadth, and openness for exploration), idiosyncratic innovation processes (i.e. convergent collective cognition vs divergent collective cognition), and differentiated HR systems comprised of different forms of unit staffing (homogeneity vs heterogeneity), performance appraisal, incentives, and training and development (short-term vs long-term orientation).

The proposed theoretical framework contributes to an improved understanding of the psychological foundation of organizational ambidexterity and systematizing how diverse HR practices work together to elicit exploitative and explorative innovation from employees.

The purpose of this paper is to develop and test a theoretical model of narrow and broad market scanning in a service industry, including short‐ and long‐term outcomes.

In a cross‐sectional survey, structural equation modeling is used to test the hypotheses on a sample of 126 hotel managers in Norway.

Given that services often involve direct interaction between the customer and the provider, customers play a more active role in the service development process. This has ramifications for how service firms scan their environment and, in turn, for incremental and discontinuous innovation. It is found that narrow and broad scanning each affect the new service development process in a unique way. Narrow scanning has a strong positive effect on profitability through incremental service adaptation; broad scanning has a weak but significant effect on profitability through incremental service adaptation, and broad scanning positively influences spin‐off knowledge.

The two greatest limitations of the research, which translate into important avenues for future research, are to develop a better measure of discontinuous innovation, and to test the model in an alternative setting, because hotels are very dependent on locality and surroundings.

When developing services, services managers must distinguish between short‐ and long‐term performance, and how they scan their markets. Adapting to customers to the exclusion of exploring new opportunities threatens long‐term viability.

The paper offers the following advice: as with organizational learning, service firms need to scan their markets by design, not default.

Over a two‐month period, the editor of this media review has searched worldwide for the most interesting and useful articles, blogs and books on the topic of strategic management.

In addition to his own finds, the editor sorted through suggestions by a team of veteran top managers and senior academics.

The result is a surprisingly diverse set of media articles about strategy and leadership on such topics as commoditization, myth of market share, blockbuster business model, negative effects of success on creativity, change‐agent trap, innovation and marketing ROI, open‐source economy, Idea engineering, polarized consumer markets.

URL links and references have been provided for the articles so that managers can easily follow up this quick scan of the media by reading the articles in full.

Provides a snapshot of what managers are reading and a guide to trends and fresh thinking.