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The purpose of this chapter is to present a summary of the literature related to homework. First, information on the search procedures is provided, including the criteria for inclusion in this review. Second, a historical overview of homework in the United States is provided, including definitions and major changes in public opinion over time. The third section addresses the difficulties experienced by students with emotional disabilities in regard to homework. The fourth section reviews the homework policies presently in place at local school districts across the U.S. The fifth section discusses the effects of homework when basic classroom strategies, cooperative homework teams, self-management and goal setting, and assignment completion strategies are used. The sixth section describes the homework practices used, as reported by teachers and students. The seventh section describes the problems experienced by students with disabilities, from the perspective of teachers, parents, and students. A final section describes the kinds of problems associated with home-school communication.

This paper aims to accurately estimate harmonics/interharmonics in modern power system. There are several high spectral resolution techniques that have been in use for several years like Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT), Prony methods, etc. but these techniques require prior knowledge of number of modes present in the signal. Model Order (MO) estimation techniques have to make a trade-off between accuracy and their speed i.e., computational burden. Therefore, there is always a requirement of a technique that is fast as well as accurate.

The proposed standard deviation (SD) method eliminates the requirement of energy validation test and analyses the distribution pattern, i.e. standard deviation of eigenvalues to identify the number of modes present in the signal. Signal is reconstructed using estimated modes and reconstruction error is obtained to show accuracy of the proposed estimation.

Six test synthetic signals as well as one practical signal have been taken for validating the proposed method. The paper shows that proposed methodology has a better accuracy compared to modified exact model order (MEMO) method in high noise environment and takes very less computation time compared to the exact model order (EMO) method.

The proposed method has been practically implemented for harmonic/interharmonic analysis at a sewage treatment plant at GIFT City, Gujarat, India. Apart from this the proposed method is modeled in python-based tool and is run into low-cost Raspberry Pi like hardware to create an onsite as well as remote monitoring device.

SD-based approach for model order estimation is novel to this area. Further, the proposed method is compared with EMO and MEMO under varying noise conditions to check for accuracy and estimation time.

Primary and secondary data.

This case is set in the year 1987 when many parts in India were milk deficient. Seasonal and cyclical shortages were more of a norm. There were however early signals that the cooperative dairying model across the country was gaining momentum and the milk production in the country was poised for a sharp upswing.

Masuum baby food is a winning brand in Shalanda Milk Foods portfolio with a top-line revenue of Rs 300m per annum, contributing to 60% of the firm’s revenue and registering a healthy 14% annual growth.

The brand was used as an additive for tea and coffee, a purpose for which it was not intended, apart from it being used as a baby food, which of course was the intended purpose.

The World Health Organisation had proposed a code which among other things proscribed brand advertisement and promotion of baby food with a view to promote mother’s milk for infants.

Though the brand sales seemed to continue to grow, thanks to demand operating above supply, there was a realization that the brand could head into an identity crisis and the fact that it cannot speak for itself could be damning.

The protagonist in the case came up with a strategy to launch a new brand with the same composition as Masuum and in a controlled manner transfer volume from Masuum to new brand. Even while appreciating the protagonist’s recommendation, the Managing Director exhorts him to come up with a stronger rationale for launching a new product and review whether it constitutes a comprehensive solution.

This case can be used at the Master’s in business administration level in the Marketing Management course. This case should be scheduled after covering topics on segmentation, targeting, positioning and brand.

This case can also be used to introduce case methodology as it follows the framework of sharply defining a problem, explaining the relationships amongst variables, identifying and evaluating solution choices, and recommending the most effective.

In innovation management, the complexity inherited in the supply network may be necessary for success. This study aims to holistically examine innovation complexities and system attractors within a hierarchically nested supply network and explore how they dynamically interact and influence adaptive innovation processes.

Taking a complexity theory perspective, we employed a methodological bricolage approach using a single case study with multiple embedded units of analysis – namely, a supply network encompassing 36 firms. We drew upon primary data obtained from 42 interviewees and rich secondary data, and we employed a temporal exponential random graph model to examine the micro-foundations of the evolution of the sampled supply network over a decade.

This study presents a comprehensive overview of the innovation complexities—relational, temporal, dynamic, operational and structural – and how they manifest within a supply network. It also identifies three systemic attractors – point, periodic and strange – and elucidates their relationships with the complexities and their impact on innovative supply network dynamics. The resulting conceptual framework and working propositions provide a detailed perspective on the complex interplay between balanced order and chaos and the potentially unbalanced innovation states within a supply network.

This research offers an in-depth perspective on the innovation complexities and dynamic attractors within a supply network from a holistic, multilevel perspective. It advances complexity theory and deepens the understanding of supply networks as complex adaptive systems.

Industries, especially power plants, using steam as power fluid employ many equipment and systems using saturated steam. Mathematical modeling of this saturated steam water space (SSWS) equipment is important for simulators catering to these industries and power plants. Single-equation-based modeling approach and its optimized version, mass factor–volume factor approach, are very efficient in modeling SSWS with bounded volumes, where the volume of the space is fixed. In unbounded volumes, the volume may be changing or is unbounded because of expansion, contraction or pressure control. The purpose of this paper is to propose a single equation based modeling approach for unbounded SSWS. Such unbounded volumes are encountered in coolant channels of pressurized heavy water reactor (PHWR)-type nuclear power plants (NPPs).

This paper proposes an extension of a single-equation approach by considering a subsection of the volume as miniature Point SSWS. In the proposed Point SSWS, the total heat, mass and volume of the SSWS are delinked and overall density and heat density are introduced in place. With this extension, Point SSWS can be applied to unbounded volumes.

In this study, 392 coolant channels of proposed 680 MWe PHWR have been simulated to ascertain the overall coolant density when coolant boils partially on nuclear heating. The simulation results have been compared with simulation results available from previous researchers and it has been found that the values are in line with previous researchers with maximum deviation of 1.2 per cent.

From the simulation results and their low value of deviation, it is clear that point space approach can be effectively used in modeling Point SSWS. Moreover, theoretically, it has been proved that the density of homogenous steam–water mixture is dependent only on the bulk heat density and temperature of the mixture.

This chapter develops a framework for classifying approaches to conceptualizing and measuring implementation of innovations. It first develops a typology that distinguishes rollout, modification, programmatic and transformation conceptualizations of implementation. The implications of each conceptualization for measurement of implementation are discussed. Following this a classification scheme for implementation measures is presented that distinguishes measures on the basis of their: (a) criterion for success of the implementation; (b) innovation unit; (c) source of data; (d) measurement scale; and (e) level of analysis. Issues related to various measurement choices are discussed along with recommendations for future research and development in the measurement of implementation.

The purpose of this paper is to examine the social and behavioral actions, activities and practices in order to group them together to create behavior‐based profiles that characterize the various stages of the innovation generation processes within organizations.

Qualitative data were collected from nine Australian companies from the biotechnology sector. Using the grounded theory approach to data analysis, labels from Rogers' adopter categorization model were used to broadly identify and classify typical actions, activities, practices and behaviors exhibited within organizations that can be described as being “innovator”, “early adopter”, “early majority”, “late majority” or “laggard” types. Further, Moore's metaphor of “chasm” was applied to explore the nature of difficulties that organizations face in converting innovative ideas into commercially successful products and services.

The use of the labels from the categories of the adopter categorization model enabled suitable behavior‐based profiles to be developed.

The use of the adopter categorization model provides a fuller and richer insight into the innovation generation process. The model can also be used to assess more holistically the viability of innovations as they progress from inception to commercialization.

A literature review within the manufacturing strategy (MS) discipline with a focus on thematic developments is provided. Based on recent studies, a set of challenges posed to manufacturing enterprise of the future are summarized, and thematic areas are analyzed in relation to meeting those challenges. The paper aims to discuss these issues.

Based on a select set of 506 articles published in top-ranked refereed international journals in the discipline of operations management, major and subthemes are identified and the publication trends in these themes are provided with time and across geographical regions, namely: North America, Europe, and other parts of the world.

MS literature is predominantly focussed on the economic objectives of firms without a due focus on the social and environmental perspectives. MS literature covers 11 major thematic areas, namely: MS components and paradigms, manufacturing capabilities (MCs), strategic choices (SCs), best practices (BPs), the strategy process (SP), supply-chain management (SCM), performance measurement, transnational comparisons, global manufacturing, environmental/green manufacturing, and literature reviews. The research in two areas – SCs, and MCs – has been in decline, while the research in BPs, the SP, and transnational comparisons is growing (in absolute figures). Various research opportunities for future studies are identified.

The literature review is limited in its selection of articles and journals, however, the identified trends clarify the state of research by the MS research community at large.

For researchers, multiple new research directions are identified in order to advance knowledge in the field of MS. The publication trends also highlight thematic areas where most of the MS body of knowledge is currently available and can be utilized by practitioners.

The paper’s novelty comes from: first, a broader and deeper review of thematic areas that has not been researched before, second, trends in thematic areas by time, across geographical regions, and including time-region dyads, and third, coverage provided by MS literature in meeting challenges posed to manufacturing enterprise of the future.

Rapid prototyping technologies have introduced a new generation of rapid tooling processes. Many of these rapid tools have been used for injection moulding where the thermal properties of the tool material are critical to the quality of parts produced. Rapid tools are often made from materials with substantially different thermal properties than conventional metal tools. Engineers wishing to make use of these technologies to produce technical prototypes must be aware of the effect this will have on final part properties. Some previous research has been undertaken in this area. Reviews the work done in the field of rapid tooling used for injection moulding. The review shows that, whereas a range of techniques and final part materials has been studied, the results obtained are incomplete and often unexplained. The authors draw conclusions as to why this is so and go on to identify areas for further work that will be pursued.