Search results

The purpose of this paper is to illustrate the dialectical interplay between centralisation and decentralisation forces so as to understand how schools leverage on its autonomous pedagogical space, influence the diffusion of innovations in the educational landscape of Singapore and how a centralised-decentralised system supports (or impedes) pedagogical reform for twenty-first century learning.

The paper first outlines the evolutionary stance of Singapore’s decentralisation from its past to present trajectories, thus providing a broader social-historical interpretation to its tight-loose-tight coupling of the education system; followed by situating the context of reform within the national narrative of Ministry of Education’s (MOE) twenty-first century competencies framework. The authors examine how school autonomy should be accompanied by systemic enabling mechanisms, through two case illustrations of whole-school reforms.

There are four carryover effects that the authors have observed: structural, socio-cultural, economic and epistemic. Middle managers from the two schools act as a pedagogical, socio-technological and financial broker outside the formal collaborative structures organised by the MOE. Such a “middle-out” approach, complemented by centralised mechanisms for “coeval sensing mechanism”, has resulted in boundary-spanning linkages and multiplier effects in terms of knowledge spillovers.

Socio-cultural context matters; and what constitutes as co-learning between policymakers and practitioners in Singapore may be construed as policing that stifles innovations in other contexts.

In addition to the conceptualisation of how school autonomy may lead to school-based innovations, the paper provided some preliminary empirical evidence of how the co-production of knowledge has been engendered within, across and beyond individual Singapore schools through the mechanism of innovation diffusion. The unit of analysis is innovation ecosystem.

This paper aims to present an interview with Professor Ron Adner, author of The Wide Lens.

The paper presents an interview with Professor Ron Adner, author of The Wide Lens to ask about his structured approach to uncovering the hidden sources of dependence in innovation ecosystems that undermine collaboration efforts. Adner describes how to use the tools he has developed to assess, map and analyse innovation ecosystems. Adner explains that when delivering value depends on the combined efforts of multiple innovation partners – both within and across firms – executing brilliantly does not prevent failure if the other partners stumble. Numerous case studies are reported and a new set of analysis tools is introduced.

Adner reveals that success in new product/service ecosystems requires innovation partners that are both able and willing to participate in a novel solution.

The paper notes that seeing innovation as ecosystem management produces many new insights about effective implementation.

Gillette’s historically successful “razor and blade” business model (RBM) has been a promising benchmark for multiple businesses across diverse industries worldwide in the past several decades. The extant literature deals with very few nuances of this business model notwithstanding the fact that there are several variants of this business model being put to practical use by firms in diverse industries in grossly metaphorically equivalent situations.

This study adopts the 2 × 2 truth table framework from the domains of mathematical logic and combinatorics in fleshing out all possible (four logical possibilities) variants of the razor and blade business model for further analysis. This application presents four mutually exclusive yet collectively exhaustive possibilities on any chosen dimension. Two major dimensions (viz., provision of subsidy and intra- or extra-firm involvement in the making of razors or blades or both) form part of the discussion in this paper. In addition, this study synthesizes and streamlines entrepreneurial wisdom from multiple intra-industry and inter-industry benchmarks in terms of real-time firms explicitly or implicitly adopting several variants of the RBM that suit their unique context and idiosyncratic trajectory of evolution in situations that are grossly reflective of the metaphorically equivalent scenario of razor and recurrent blades. Inductive method of research is carried out with real-time cases from diverse industries with a pivotally common pattern of razor and blade model in some form or the other.

Several new variants of the razor and blade model (much beyond what the extant literature explicitly projects) have been discovered from the multiple metaphorically equivalent cases of RBM across industries. All of these expand the portfolio of options that relevant entrepreneurial firms can explore and exploit the best possible option chosen from them, given their unique context and idiosyncratic trajectory of growth.

This study has enriched the literature by presenting and analyzing a more inclusive or perhaps comprehensive palette of explicit choices in the form of several variants of the RBM for the relevant entrepreneurial firms to choose from. Future research can undertake the task of comparing these variants of RBM with those of upcoming servitization business models such as guaranteed availability, subscription and performance-based contracting and exploring the prospects of diverse combinations.

Smart entrepreneurial firms identify and adopt inspiring benchmarks (like razor and blade model whenever appropriate) duly tweaked and blended into a gestalt benchmark for optimal profits and attractive market shares. They target diverse market segments for tied-goods with different variants or combinations of the relevant benchmarks in the form of variegated customer value propositions (CVPs) that have unique and enticing appeal to the respective market segments.

Value-sensitive customers on the rise globally choose the option that best suits them from among multiple alternatives offered by competing firms in the market. As long as the ratio of utility to price of such an offer is among the highest, even a no-frills CVP may be most appealing to one market segment while a plush CVP may be tempting to yet another market segment simultaneously. While professional business firms embrace resource leverage practices consciously, amateur customers do so subconsciously. Each party subliminally desires to have the maximum bang-to-buck ratio as the optimal return on investment, given their priorities ceteris paribus.

Prior studies on the RBM have explicitly captured only a few variants of the razor and blade model. This study is perhaps the first of its kind that ferrets out many other variants (more than ten) of the razor and blade model with due simplification and exemplification, justification and demystification.

The purpose of this paper is to create awareness on the need for lifting up the level of analysis in service research by focusing on systems, networks, and ecosystems to contribute to the research expansion of the traditionally narrow view of service.

This conceptual paper is built upon three blocks. First, the viable systems approach is revised to highlight the survival, viability, and complexity of service systems. Second, the dynamics of service networks is discussed using an ecological view of service with a nested, networked configuration. Third, these two previous perspectives are integrated using the fundamentals of ecosystems thinking.

This paper outlines a novel, tri-level approach reorienting and reframing our thinking around systems, networks, and ecosystems. Some research challenges and directions that could expand the body of knowledge in service research are also discussed.

The tri-level approach proposed in this conceptual paper could be enriched with other theoretical perspectives and empirical explorations.

Lifting the level of analysis by focussing on service systems, service networks, and service ecosystems would allow practitioners to expand their business perspective to better face the challenges of complex business settings, enabling them to co-create value for all their stakeholders.

The paper contributes to set the foundation for the next stage of service research by going beyond dyadic interactions to address dynamic systems, networks, and ecosystems across different interaction patterns in complex business configurations.

Allocating budget optimally to marketing channels is an increasingly difficult venture. This difficulty is compounded by an increase in the number of marketing channels, a rise in siloed data between marketing technologies, and a decrease in individually identifiable data due to legislated privacy policies. The authors explore the rich attribution modeling literature and discuss the different model types and approaches previously used by practitioners and researchers. They also investigate the changing landscape of marketing attribution, discuss the advantages and disadvantages of different data handling approaches (i.e., aggregate vs. individualistic data), and present a research agenda for future attribution research.

Innovative firms have rapidly developed artificial intelligence (AI) capabilities into their service ecosystems, essentially changing perceptions of what is service quality and service delivery in their respective industries. Nonetheless, the issues surrounding AI services remain relatively unknown. The purpose for this paper is to offer a digital servitization framework for understanding how AI services impact value perceptions, consumer engagement and firm performance measures. The authors use the financial service ecosystem to explore this topic.

The authors explore relevant literature on digital servitization, service-dominant logic and AI/disruptive innovation. Next, a conceptual framework, organized by AI-Service Exchange Antecedents, Context of AI Usage and Digital Servitization Consequences, is developed. The authors conceptualize consequences for consumers and firms.

The main findings suggest that the linkages between consumers, financial institutions and fintech companies with AI usage in a service ecosystem should be identified; how value is created among multiple SD Logic-AI network actors should be analyzed; and the effects of AI-consumer interactions (lower-level and higher levels of engagement) on firm performance measures should be explored.

The conceptual framework identifies gaps in the literature and suggests research questions for future studies.

This paper may assist practitioners with the development of AI-enabled banking activities that involve direct consumer engagement.

To the authors’ best knowledge, this research agenda is the first comprehensive framework for understanding value co-creation in the context of AI in financial services, linking antecedents, usage and consequences.

The purpose of the paper is to empirically explore the economic effect of advertising spending on the performance of banks on a sample consisting of all banks listed on the Dhaka Stock Exchange over the period spanning from 2011 to 2019.

A dynamic panel data autoregressive approach of two-step system generalized method of moments (2-SGMM) estimation technique has been adopted in this study to analyze the contemporary and carryover effect of advertising on the financial performance of banks.

The findings indicate that advertising expenditure boosts banks' accounting returns but not their market value. Furthermore, advertising has a negative carryover effect on the financial performance of banks and is statistically significant for operating profit and return on equity. This finding demonstrates that the economic benefits of advertising expenditure lapse entirely within the current period and ought to be treated as an expense since it does not bring any future return for the banks in Bangladesh. In addition, this paper also offers no critical contrast between the impact of advertising spending on the performance of both conventional and Islamic banks operating in Bangladesh.

To the best of the authors' knowledge, no study so far has looked into the effect of advertising on the profitability and the market value of the banks operating in Bangladesh, and this is the first study that explores this relationship.