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This paper aims to improve the mathematical justification of certain analog signal theory concepts and offer a rigorous framework for it.

The framework relies on functional analysis, namely theory of distributions and the concept of weak limit. Its notation is adjusted to resemble the notation usually used in engineering signal theory. It can be used to prove in a rigorous manner already established results in signal theory, but also to establish new ones.

Examples have shown the lack of rigour caused by using ordinary calculus in proving fundamental signal theoretic results. On that basis, concepts of limit, Fourier transform and derivative are revisited in the spirit of functional analysis. A new useful formula for weak limit computation is proved.

Functional analysis is efficiently used in signal theory in a manner approachable by engineers. An original and efficient formula for weak limit computation is presented and proved.

This paper aims to problematise critiques raised against customer accounting’s numeric focus, which risks controlling and simplifying customers rather than facilitating closer engagement. This analysis suggests ways to better account for what it is that customers buy, why they do so and how to better serve them.

Service-dominant logic (SDL) is a marketing ideology that recognises the active role of customers in value creation. Seven customer accounting techniques are appraised against SDL principles to identify strengths and shortfalls in logic and application.

Customer accounting techniques align with SDL’s beneficiary-oriented and relational view of customers. Weaker alignment is found regarding a focus on outputs rather than outcomes, silence about the customer’s role in co-creating value and failure to recognise contextual circumstances.

The analysis uses prototypical descriptions of customer accounting techniques. Actual applications could offset weaknesses or raise other shortfalls.

For each area of SDL, the authors suggest avenues for integrating SDL into customer accounting using related literature and building on concepts within customer accounting techniques.

SDL contrasts with the traditional, goods-dominant logic that underscores much of accounting. SDL is used to critically and constructively evaluate customer accounting techniques.

The purpose of the paper is to analyse how the male-female pay gap in China varies across the pay distribution and to provide evidence on the factors that influence that gap.

The authors use the Recentered Influence Function modification of quantile regressions to estimate how the male-female pay gap varies across the pay distribution. The authors also decompose the pay gaps at different quantiles of the pay distribution into differences in endowments of wage determining characteristics and differences in the returns for the same characteristics. The analysis is based on data from the Life Histories and Social Change in Contemporary China survey.

The authors find evidence of a sticky floor (large pay gaps at the bottom of the pay distribution) and some limited and weaker evidence of a glass ceiling (large pay gaps at the top of the distribution). This pattern prevails based on the overall pay gap as well as on the adjusted or net gap that reflects differences in the pay that males and females receive when they have the same pay determining characteristics. The pattern largely reflects the coefficients or unexplained differences across the pay distribution. Factors influencing the pay gap and how they vary across the pay distribution are discussed. The variation highlights considerable heterogeneity in the Chinese labour market with respect to how pay is determined and different characteristics are rewarded, implying that the conventional Blinder-Oaxaca decompositions that focus only on the mean of the distribution can mask important differences across the full pay distribution.

At the bottom of the pay distribution most of the lower pay of females reflects their lower returns to job tenure, experience and a greater negative effect of family responsibilities on females’ wages, and to a lesser extent their lower level of education, less likelihood of being CPP members and their concentration in lower paying occupations. At the top of the pay distribution most of their lower pay reflects their lower returns on education, job tenure and work experience, and to a lesser extent their lower levels of experience and lower likelihood of being in managerial and leadership positions.

The paper systematically examines the male-female pay gap and its determinants throughout the pay distribution in China, highlighting that the conventional Blinder-Oaxaca decompositions that focus only on the mean of the distribution can mask important differences across the full pay distribution and not capture the considerable heterogeneity in that labour market.

This study empirically identifies three strategies for creating shareholder value for firms who venture into Emerging markets (EMs) in search of corporate growth and profitability.

To uncover these value creating strategies, we apply Cluster analysis techniques, analysis of variance as well as survey several qualitative case-studies of firms who have entered EMs worldwide.

Our findings demonstrate how firms can – and do – tap into the potential that EMs offer, despite the inherent riskiness of these markets and/or constraints on corporate resources. Statistically, no single shareholder value creating strategy is more (or less) remunerative than other strategies. Many equally profitable trajectories coexist vis-à-vis corporate growth in EMs.

Our findings are based on stock-markets’ expectations of firm performance; these expectations may not correspond to the actual future firm performance.

The principles we have isolated have a broad appeal because they identify variety of paths that facilitate shareholder value creation via participation in EMs. We expose the inner workings of these trajectories and illustrate particular firm-specific and location-specific combinations associated with profitable EM ventures.

This study seriously challenges the conventional view that value creation is a function of singular positive influences. On the contrary, this study establishes that value creation is multi-dimensional and submits that a more refined way to augment performance is to develop an ability to combine relevant firm-specific and location-specific factors so that they can, if needed, offset the impositions of each other.

Discusses Shewhart’s control charts and how they have been confined traditionally to the shopfloor in manufacturing industry. Contends that now practitioners are leading a growing interest in the charts’ wider application in areas such as sales, marketing, customer service, and inventory management. Shewhart discovered that variation in a process can result either from common causes (part of the process) or special causes (not part of the process). Shewhart’s charts enable us to learn about processes and improve them with the aid of his plan‐do‐study‐act continuous improvement cycle. Research conducted in Japan showed that companies which won the Deming Prize consistently outperformed the averages in financial measures for the industry.

Although more public sector information is disclosed in an open format, the intermediaries are the key element to have value creation from it. This study aimed to identify elements about the role of these stakeholders: their characteristics, resources and partnerships within an ecosystem of budget transparency and open government data, in particular, to identify initiatives and opportunities that enable the co-production of value from public sector information.

The study was conducted in four Latin American countries, and data collection was carried out through interviews and document analysis.

The paper identifies intermediaries’ profiles, their network, results achieved and lessons learned.

This is the first study to cover in depth the intermediaries in a regional budget transparency ecosystem. Some findings emphasize the intermediary’s role, and others offered the authors elements to propose a framework for citizen coproduction that extends citizen sourcing and government as platform models, as some co-production initiatives identified seem to extrapolate their limits definitions.

This study aims to investigate the effects of organizational culture factors on the selection of software process development models and develops a conceptual model for selecting and adopting process development models with an organizational culture approach, using 12 criteria and their sub-criteria defined in Fey and Denison’s model (12 criteria).

The research hypotheses were investigated using statistical analysis, and then the criteria and sub-criteria were selected based on Fey and Denison’s model and the experts’ viewpoints. Afterward, the organizational culture of the selected company was measured using the data from 2016 and 2017, based on Fey and Denison’s questionnaire. Due to the correlation between the criteria, using the decision-making trial and evaluation technique, the correlation between sub-criteria were determined, and by analytical network process method and using Super-Decision software, the process development model was preferred to the 12 common models in information systems development.

Results indicated a significant and positive effect of organizational culture factors (except the core values factor) on the selection of development models. Also, by changing the value of organizational culture, the selected process development model changed either. Sensitivity analysis performed on the sub-criteria implied that by changing and improving some sub-criteria, the organization will be ready and willing to use the agile or risk-based models such as spiral and win-win models. Concerning units where the mentioned indicators were at moderate and low limits, models such as waterfall, V-shaped and incremental worked more appropriately.

While many studies were performed in comparing development models and investigating their strengths and weaknesses, and the impact of organizational culture on the success of information technology projects, literature indicated that the impact of organizational sub-culture prevailing in the selection of development process models has not been investigated. In this study, new factors and indicators were addressed affecting the selection of development models with a focus on organizational culture. Correlation among the factors and indicators was also investigated and, finally, a conceptual model was proposed for proper adoption of the models and methodologies of system development.

Pebble Technology Corporation (Pebble) was an early entrant into the smartwatch industry. Pebble’s Founder, Eric Migicovsky, began thinking about creating a smartwatch in 2008 while still an undergraduate engineering student. After selling about 1,500 prototype watches, he was accepted into Silicon Valley’s prestigious Y Combinator business start-up program. Finding it difficult to attract investors, Migicovsky launched a crowdfunding campaign that raised a record-breaking $10.27m on Kickstarter. The case concludes shortly after Apple’s unveiling of its soon-to-be-released Apple Watch. The case provides an opportunity to evaluate Pebble’s various strategic options at the time of Apple’s announcement.

The authors observed over 30 h of video and audio recordings of speeches, interviews and other events involving Pebble’s founder, other Pebble executives, investors and competitors. These recordings are all publicly available. Whenever possible, the authors also reviewed the Twitter feeds, Facebook sites and personal websites of Pebble’s top executives over time. Similarly, the authors followed Pebble’s official website, corporate blog and Kickstarter campaign websites. The authors also drew from numerous media reports. Due to the public nature of the data, no company release is provided nor has any information been disguised in any way.

The case is designed for both undergraduate and graduate students for courses in strategic management.

This chapter studies the asymptotic properties of within-groups k-class estimators in a panel data model with weak instruments. Weak instruments are characterized by the coefficients of the instruments in the reduced form equation shrinking to zero at a rate proportional to nTδ, where n is the dimension of the cross-section and T is the dimension of the time series. Joint limits as (n,T)→∞ show that this within-group k-class estimator is consistent if 0≤δ<12 and inconsistent if 12≤δ<∞.

The purpose of this paper is to conceptually develop the understanding of co‐opetition dynamics and to enhance the conceptual clarity of co‐opetition by developing a definition based on previous research efforts.

This conceptual paper integrates various approaches to the concept co‐opetition into a definition that holds for co‐opetitive interactions across multiple levels. Different co‐opetitive interactions and the resulting dynamics are discussed by drawing upon competition and cooperation theories. The paper concludes with an agenda for further research on co‐opetition dynamics.

The paper outlines how different types of co‐opetitive interactions result in archetypical situations where the dynamics of co‐opetition are present as well as where the dynamics of co‐opetition are missing due to a lack of balance between cooperation and competition. It notes four co‐opetitive forces: over‐embedding, distancing, confronting, and colluding. These four forces drive development towards situations without dynamics.

This paper provides a conceptual understanding of co‐opetition dynamics and will reveal that in order to adequately account for co‐opetition dynamics, a definition of co‐opetition must analytically separate the cooperative and the competitive interaction inherent in co‐opetition.