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The purpose of this study is to investigate the errors arising from the numerical treatment of model processes, paying particular attention to the impact of key system features including widely variable dispersion coefficients, spatiotemporal velocities of algal cells, and the aggregation of algae from single cells to large colonies. An advection–dispersion model has been presented to describe the vertical transport of colonial and motile harmful algae in a lake environment.

Model performance is examined for two different numerical treatments of the advective term: first-order upwind and quadratic upwind with a stability-preserving flux limiter (SMART). To determine how these schemes impact predictions, comparisons are made across a sequence of models with increasing complexity.

Using first-order upwinding for advection–dispersion calculations with a time oscillating velocity field leads to oscillatory numerical dispersion. Subjecting an initially uniform distribution of large-sized algal colonies to a spatiotemporal velocity creates a concentration pulse, which reaches a steady-state width at high-grid Peclet numbers when using the SMART scheme; the pulse exhibits contraction–expansion behavior throughout a velocity cycle at all Peclet numbers when using first-order upwinding. When aggregation dynamics are included with advection-dominated spatiotemporal transport, results indicate the SMART scheme predicts larger peak concentration values than those predicted by first-order upwind, but peak location and the time to large colony appearance remain largely unchanged between the two advective schemes.

To the best of the authors’ knowledge, this study is the first numerical investigation of a novel advection–dispersion model of vertical algal transport. In addition, a generalized expression for the effective dispersion coefficient of temporally variable flow fields is presented.

Online communication technologies have profoundly affected consumption and buying behaviours, and put pressure on businesses to find ways of dealing with these developments. Businesses are increasingly experimenting with new approaches and tools to keep up, and netnography – ethnography applied to the web – has become popular. However, exploiting the potential of netnography requires companies to cope with new problems and acquire new capabilities. The purpose of this paper is to examine the organizational and managerial implications of using the netnographic approach in market research.

After a literature review on netnography in marketing research, the authors present a case study of best practice of netnography for market research: the research project of Dash-Procter & Gamble on Motherhood Support.

The authors found four issues as critical for exploiting the potential of netnography as a tool of market research: first, immersive involvement; second, mediated participation; third, the use of multiple techniques and distributed specialized capabilities; and fourth, the need for orchestrating the emergent network organization of the project. The quality of the research outcomes is related to the resources available and the integration of different roles and competences in the project.

Since netnographic studies involve collaborative research, further studies of experiences in organizing netnography projects are needed. These studies are bound to yield valuable insights.

Exploiting the potential of netnography implies experimenting with novel approaches and solutions in marketing research practices to orient management decisions and calls for developing skills to orchestrate research project networks.

The value of this work lies in zooming in on the methodological principles of netnography and zooming out on the networking managerial processes that make it possible to implement the networking required to exploit the potential of netnography.

This paper aims to explore the relationship between the various variables present in the packaging plastic waste management system in the cosmetics industry.

In this paper, the authors deal with plastic packaging waste in the cosmetic industry with the help of system dynamics. The model broadly divides the system into six sections – Cosmetic Packaging, Waste Generation, Waste Collected, Waste Sorted, Waste Treated and Waste Dumped. Businesses have been investing in each section depending on their progress and targets. The authors are looking at case studies of two leading cosmetic brands, L'Oréal and L'Occitane en Provence, to validate the industry practices against our model.

From a business perspective, using the case study methodology for L'Oréal and L'Occitane, the authors inferred that out of the various investment vehicles available, companies are targeting technological advancement and third-party collaborations as they have the potential to offer the greatest visible change. However, most of these investments are going toward the treatment subsection. Still, there is a scope for improvement in the collection and sorting subsystems, increasing the efficiency of the whole chain.

There has been a lot of research on packaging plastic waste management in the past, but only a few of them focused on the cosmetic industry. This study aims to connect all the possible variables involved in the cosmetic industry’s packaging plastic waste management system and provide a clear output variable for various businesses looking to manage their packaging waste because of their products efficiently.

Building on the little guidance in the existing literature regarding the relationship between human resource management (HRM) practices, entrepreneurial orientation and firm performance, this study aims to generate theoretical propositions that underpin an integrative framework following a systematic literature review, then to test such a framework within the context of a small and medium enterprise (SME) to demonstrate how employees’ knowledge and competencies are translated into added value while fostering the company’s entrepreneurial capabilities and culture.

For the purpose of this research, a systematic literature review was adopted to build the propositions underpinning an integrative theoretical framework linking HRM practices, entrepreneurial orientation and firm performance. A single case study approach was then followed to test the propositions of the integrative theoretical framework within the context of an SME, while adopting a triangulation methodology for data collection, including questionnaires, interviews and archival data. Data analysis was conducted following the procedures of a pattern-matching methodology.

This research confirms the strategic role of HRM practices in fostering the firm’s entrepreneurial orientation and capabilities, while nurturing, enriching and bundling employees’ knowledge, skills and distinctive competencies within the context of a company’s innovation-driven strategy. HRM practices through a strategic alignment with the company’s business strategy, contribute to shaping up organizational attitudes, behaviors and cultural determinants that are, in turn, conducive to better innovativeness, risk propensity and initiative-taking. Theoretical and empirical evidence shows how such corporate entrepreneurialism is then translated into adding value activities, individual and group productivity and overall organizational performance.

This research generates meaningful insights on how HRM practices contribute to shaping up corporate entrepreneurship attitudes and transforming them into both individual and organizational results while building on conceptual assumptions and empirical evidence. The authors believe such insights have the potential to lay the foundations of a comprehensive theoretical model that disentangles the complexities and the dynamics of how strategically-oriented HRM interventions could help an organization redirect its employees’ competencies into innovation and entrepreneurial capabilities to generate a competitive advantage in an ever-changing business environment. Future research should emphasize mainly on multiple case study approaches and ethnographic methodologies for the sake of result generalizability and holistic understandings.

This research draws significant conclusions for SMEs to cope with the change and the fierce competitive dynamics affecting current business environments. To consolidate and further develop their strategic positioning, this research suggests that SMEs could leverage distinctive individual and group competencies, through strategically aligned HRM actions and investments, to foster learning and generate entrepreneurially-oriented cultural values and management style conducive to innovation, performance and competitive advantage.

This research offers integrated and holistic views of how HRM practices affect organizational performance while leveraging on learning to create the necessary cultural and managerial conditions for corporate entrepreneurialism. This research builds on both theoretical propositions and empirical evidence to lay the foundations of a comprehensive model linking HRM practices, entrepreneurial orientation and firm performance. From a practical perspective, the research findings suggest new human resource developmental venues while placing much emphasis on the value of creating the innovation-driven managerial culture and fostering entrepreneurially-oriented attitudes to achieve better performance results.

The authors investigate an institutional change as the co-occurrence of deinstitutionalization and institutionalization, while accounting for its determinants at multiple levels of analysis to further our understanding of how individual characteristics aggregated at the organizational level and organizational characteristics together account for the erosion and emergence of practices within the field. The authors empirically explore this question in a multilevel dataset of UK law firms and their employees, looking in particular at how the practice of equity partnership faded away and how non-equity partnership emerged as a new practice. The results contribute to the literature on institutional change and the microfoundation of institutions.

The purpose of this paper is to investigate boundary spanning tactics in a cross-organizational virtual alliance and discuss the analytical value of “digging” into technology for excavating boundaries and understanding their dynamic and emergent features.

Although boundaries, their role and implications have been extensively investigated across a variety of online settings, the results are inconclusive as to the features of technology that create, dissolve or re-locate boundaries. This is attributed to the fact that in most cases technology is addressed as a black box – a discrete artefact of practice – without seeking justification for the inscribed functions that enable or constrain use. The paper overcomes these shortcomings by analysing digital trace data compiled through a virtual ethnographic assessment of a cross-organizational tourism alliance. Data comprise electronic traces of online collaboration whose interpretive capacity is augmented using knowledge visualization techniques capable of revealing dynamic and emergent features of boundary spanning.

Boundary spanning in virtual settings entails micro-negotiations around several types of boundaries. Some of them are either enforced by or inscribed into technology, while others are enacted in practice. Knowledge visualization of digital trace data allows “excavation” of these boundaries, assessment of their implications on distributed organizing of online ensembles and discovery of “hidden” knowledge that drives boundary spanning tactics of collaborators.

In cross-organizational collaborative settings, boundary spanning represents an enacted capability stemming from the intertwining between material and social/collective agencies. Consequently, boundaries surface as first class design constructs, directing design attention not only to features inscribed in technology (i.e. user profiles, registration mechanisms, moderation policies) but also the way such features are appropriated to re-shape, re-locate or dissolve boundaries.

An empirical data pool compiled through virtual ethnographic assessment of online collaboration is revisited and augmented with knowledge visualization techniques that enhance the interpretive capacity of the data and reveal “hidden” aspects of the collaborators’ boundary spanning behaviour and tactics.

The purpose of this paper is to examine the theoretical/conceptual development and application of weblog‐textmining to fashion forecasting in general and street fashion trending in particular.

The current methods of forecasting cannot keep pace with the changing dynamics of the marketplace – mostly due to the rampant diffusion of data/information. The company that can tap the continual flow of data/information in the present, contrast it with a stored set of information from the past, and adjust based on repeated cycles, will have the best insight into the lingering trend, changing trend, or dynamic trend. The paper uses a simple example to explain blog trend analysis using Nielsen BuzzMetrics' BlogPulse.

The study finds that to make fashion weblog forecasting a reality, there needs to be a rich accumulation of fashion communication in structured blogs. In addition, there needs to be a classification of the various forms of industry web text, web venue. Furthermore, rich research traditions must be in place to chronicle the cultural, behavioral, linguistic, socioeconomic, and communication behaviors over time for the weblog and the fashion weblogger in particular.

The changing dynamics of the fashion business makes it a good example for understanding the weblog‐text mining approach developed in this paper.

The understanding and implementation of trend forecasting using blogs as data mining sources will add another dimension of forecasting techniques to survive the multi‐channel revolution in fashion marketing.

The choice of accounting policies by a company has implications for the market’s understanding of corporate performance. Whilst the critical areas of choice may change over time with new developments and changes in standards, the underlying issue remains relevant. This paper examines the effect of accounting techniques upon the relationship between accounting variables and UK share prices.

The purpose of this study is to examine the impact of selected corporate governance (CG) variables on the equity value multiple (EVM) of listed firms in Nigeria.

The research used data obtained from 100 firms listed on the Nigerian Stock Exchange (NSE) from 2014 to 2018. A generalized method of moment was used to estimate the relationship, whereas principal component analysis was used to generate composite values of EVMs.

Findings reveal a significant association between board size, board independence, board gender diversity, managerial shareholding, audit committee independence, disclosure of CG information and EVM at a 1% level of significance.

This study was limited to firms that disclosed information on CG and EVMs.

These empirical findings lend support to agency theory, which suggests the use of various CG variables as a way of reducing principal-agent conflicts. It also lends support to resource dependency theory from a gender diversity perspective.

The study is a pioneering effort toward unlocking the relationship between some CG variables and the EVMs, focusing on firms listed on the NSE.