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This paper seeks to shed some light on value‐creation in new product development (NPD) projects within the context of industry convergence and to explore alternative types of projects characterised by different buyer‐seller relationships.

There has been much research on value‐creation in general, but limited emphasis on value‐creation in NPD projects addressing new industry segments emerging from industry convergence (for example, the segment of nuctraceuticals and functional foods (NFF) products that is positioned between the food and the pharmaceutical industries). Based on a multi‐case study approach, this paper pursues an exploratory research strategy and investigates 54 NPD projects drawn from a Quebec (Canada) NFF foods cluster.

In the context of convergence a new value chain is emerging between two formerly separated sectors. Value‐creation networks spread across industries and reinforce trends of convergence. Firms face competence gaps in NPD and seek to close these by choosing alternative forms of collaboration. Different types of NPD projects involve alternative forms of buyer‐seller relationships and their approach of value‐creation is analysed.

A typology of different approaches to NPD in converging value chains is presented along with type‐specific implications for value‐creation for the required buyer‐seller relationship.

This paper provides a unique insight into value‐creation in NPD in the emerging NFF sector, in particular, and for converging industries, in general.

The investment development path of emerging markets’ MNEs is significantly different from the developed (TRIAD) world’s MNEs; BRIC MNEs seem to have taken a different trajectory on account of various political and economic reasons, ranging from the ‘forms of entry’ to ‘country-specific advantages’ (Tulder, R. V. (2010). Toward a renewed stages theory for BRIC multinational enterprises? A home country bargaining approach. In K. P. Sauvant, G. McAllister, & W. A. Maschek (Eds.), Foreign direct investments from emerging markets: The challenges ahead (pp. 61–74). New York, NY: Palgrave Macmillan). Yet, some believe that in the long run the internationalization strategy of the developed world MNEs and BRIC MNEs will converge. Internationalization strategies as measured by OFDI depend on various macroeconomic determinants such as income, interest rate, openness of the economy, etc. The chapter intend to highlight, the significant difference between these two groups of countries on account of diverse political reforms towards internalization of firms, yet see if these different countries might converge.

Regression analysis examines the significance of the role of home government by testing the effect of governance indicators; that is voice and accountability, on OFDI. It further, tests for convergence of internationalization strategies of the two historically divergent groups, also, it tests convergence amongst the BRIC nations. Along with forecasting, time series analysis is also employed to examine convergence using univariate sigma convergence techniques.

Impact of voice and accountability is significant but it hinders OFDI for BRIC nations, while it promotes OFDI for TRIAD & ALL. Moreover, the analysis found the existence of convergence, that is BRIC will catch up with TRIAD, but though convergence exists amongst BRIC if we take a long span of time (45 years), it is absent in short span of time (19 years), as lately BRIC have shown divergent tendency.

Small sample size in multivariate regression analysis. Also, the governance indicator, that is voice and accountability, is perception based, and missing gaps in data for governance indicator is filled using interpolation.

Empirically testing the convergence of BRIC nations with the developed world. A univariate time series analysis is undertaken to understand each country’s heterogeneous FDI outflows and to address the research gap in existing forecasting literature. In addition, the comparison specifically between the Emerging Market Economies, that is the BRIC nations and the developed world gives some useful insights. This chapter ascertains the impact of governance indicator on OFDI; empirical literature shows such analysis for IFDI & FDI, but OFDI is rarely been dealt with.

Prediction markets are techniques to aggregate dispersed public opinions via market mechanisms to predict uncertain future events’ outcome. Many experiments have shown that prediction markets outperform other traditional forecasting methods in terms of accuracy. Logarithmic market scoring rules (LMSR) is one of the most simple and widely used market mechanisms; however, market makers have to confront crucial design decisions including the setting of the parameter “b” or the “liquidity parameter” in the price functions. As the liquidity parameter has significant effects on the market performance, this paper aims to provide a comprehensive basis for the setting of the parameter.

The analyses include the effects of the liquidity parameter on the forecast standard error and the amount of time for the market price to converge to the true value. These experiments use artificial prediction markets, the proposed simulation models that mimic real prediction markets.

The simulation results indicate that prediction market’s forecast standard error decreases as the value of the liquidity parameter increases. Moreover, for any given number of traders in the market, there exists an optimal liquidity parameter value that yields appropriate price adaptability and leads to the fastest price convergence.

Understanding these tradeoffs, the market makers can effectively determine the liquidity parameter value under various objectives on the standard error, the time to convergence and cost.

The purpose of this paper is to show that the theoretical proofs of convergence in solution of ant colony optimization (ACO) algorithms have significant values of theory and application.

This paper adapts the basic ACO algorithm framework and proves two important ACO subclass algorithms which are ACO_bs,τmin and ACO_{bs,τmin (t)}.

This paper indicates that when the minimums of pheromone trial decay to 0 with the speed of logarithms, it is ensured that algorithms can, at least, get a certain optimal solution. Even if the randomicity and deflection of random algorithms are disturbed infinitesimally, algorithms can obtain optimal solution.

This paper focuses on the analysis and proof of the convergence theory of ACO subset algorithm to explore internal mechanism of ACO algorithm.

The purpose of this paper is to test the extent of convergence in rents and yields in the European real estate office market.

The paper uses the concepts of beta‐convergence and sigma‐convergence to evaluate empirically the hypothesis of rent and yield convergence in seven European office markets during the period 1982‐2009. Because of the introduction of a single currency in January 1999, the analysis is carried out sequentially, first for the overall sample period and then the periods before and after the introduction of the single currency.

The results indicate that, irrespective of the time period considered, there is not enough statistical evidence of beta‐convergence in either rents or yields but evidence of significant sigma‐convergence in rents and yields in the European office markets under review. Additionally, some evidence is found that the introduction of the single currency in 1999 has led to increasing signs of convergence, especially in the Continental European markets.

The results show that the real estate office markets in Europe are not fully integrated and so indicate that diversification across Europe is still a viable investment strategy.

This is the first paper to use beta and sigma convergence tests on European office market data.

The primary purpose of this paper is to explore the importation of the convergence idea into the Indian regulatory and institutional context.

The objectives of this paper were largely achieved by utilizing textual or policy document analysis. This methodological technique involves an analysis of primary and some secondary sources including: statements from policy makers and direct quotations from policy documents. In theoretical terms, this inquiry is grounded in institutionalism.

Barriers to achieving real convergence are not merely a function of perceptual flaws in regulatory measures or shortcomings of the industries involved, but are endemic to unrealistic conceptualizations of the phenomenon in the literature.

More quantitative metrics could be added. However, if more quantitative methods are added the paper needs to be re‐written to accommodate them. Also a comparative perspective could be added, but then again the paper would have to be re‐designed.

This paper offers numerous concrete and practical applications for those in government and industry who are struggling with the convergence issue. For policymakers it provides insights for how governments and consultants may impact the progress of convergence. The paper also illustrates structural factors that industry will face in India in rolling out converged or multi‐media services.

Convergence in the Indian case is greatly under researched. While there has been considerable research into regulatory issues of the nation's telecommunications and broadcast industries, few if any studies have addressed convergence among distinct mediated communication forms. Inquiry into role the regulatory role of consultant firms is particularly lacking.

The purpose of this paper is to explore the influence of cultural assimilation – termed “transculturation” – on work ethic perceptions, thus this study examines trends in work ethic across ethnic and generational groups within the USA.

Following a literature review on work ethic, ethnicity, and transculturation, an analysis of variance based on 873 survey responses is presented. The sample includes undergraduate and graduate students at several public universities within the USA.

An empirical analysis supports the hypothesis that the variation of work ethic perceptions within the Millennial generation is significantly less than the variation among older generations. The authors find no significant difference in general work ethic perceptions among Millennial ethnic groups.

While the study is conducted using a convenience sample, the demographics are closely representative of the USA labor force. The results suggest that Millennials, while a more diverse ethnic population, exhibit less variation among work ethic perceptions than earlier generational groups.

Understanding differences in work ethic perceptions across various ethnic groups is valuable for managers interested in designing jobs that appropriately exploit the full value of a multi-generational workforce.

The findings of this study offer new insights into how more recent generations, while more ethnically diverse, exhibit a convergence in perceptions of work ethic.

This study attempts to understand the research clusters and thematic evolution of the topic generational diversity at workplace, over the period of 2001–2009 and 2010–2018. Furthermore, it attempts to identify the key shifts (and convergence) that have taken place in the value system across generational cohorts.

In this context, the first stage of the study involved an in-depth systematic analysis of extant literature on multigenerational workforce between 2001–2009 and 2010–2018 by applying bibliometric analysis. Following an explanatory mix-method approach, the second stage of the study comprised of 32 interviews conducted across generations, exploring the role of ethics at the workplace.

It was revealed that during the period 2001–2009, communication and identification of generational characteristics emerged as the major themes. The 2010–2018 period unraveled four themes of research – retaining and engaging millennials through leadership, generational differences in work values, impact of generational differences on organizational-level variables and generational diversity in education and nursing. The outcome from the second stage showed that work values differ across generations with an emphasis on intrinsic work values, and work values have rather deteriorated, with baby boomers possessing stronger work ethics in comparison to the millennials. Finally, an integrated model for multigenerational workforce has been proposed.

This paper provides significant inputs to the expanding research in the area of work values, as it delves into the principal mechanisms leading to differences in work values among generations.

Bibliometric analysis, which is a quantitative approach to understanding the intellectual structure of a research topic, has been applied to generational diversity at the workplace. This constitutes a novel attempt that can be bracketed as a pertinent contribution to the field.

This article critically examines the multiple rationales for telecom, IT, media convergence regulation, on the one hand, and multisector utility regulation, on the other, and the practical questions of implementation they pose, with a view to contributing to informed policy and regulatory decisions. Both options involve substantive as well as procedural issues, not necessarily separable. The conditions that may affect the creation of convergence and multi‐sector regulation, ranging from underlying commonality of inputs and the behaviour of regulated firms to considerations that are specific to the regulatory process such as scarcity of regulatory resources and safeguards for regulatory independence, are examined. It is concluded that ICT and media convergence issues are primarily about improving the efficiency of market economies, and how changes in regulation can facilitate this process. Multi‐sector regulation issues are primarily about establishing the efficiency and effectiveness of regulation, so it can be a catalyst for network and economic development. They arise from an initial diagnosis of different problems, and represent different priorities and pathways to achieving a very similar set of development objectives.

The purpose of this paper is to test the capability of a new population‐based optimization algorithm for solving an NP‐hard problem, called “Multiple Knapsack Problem”, or MKP.

Here, the intelligent water drops (IWD) algorithm, which is a population‐based optimization algorithm, is modified to include a suitable local heuristic for the MKP. Then, the proposed algorithm is used to solve the MKP.

The proposed IWD algorithm for the MKP is tested by standard problems and the results demonstrate that the proposed IWD‐MKP algorithm is trustable and promising in finding the optimal or near‐optimal solutions. It is proved that the IWD algorithm has the property of the convergence in value.

This paper introduces the new optimization algorithm, IWD, to be used for the first time for the MKP and shows that the IWD is applicable for this NP‐hard problem. This research paves the way to modify the IWD for other optimization problems. Moreover, it opens the way to get possibly better results by modifying the proposed IWD‐MKP algorithm.