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In this paper, we analyze statistical properties of stated choice experimental designs when model attributes are functions of several design attributes. The scheduling model is taken as an example. This model is frequently used for estimating the willingness to pay (WTP) for a reduction in schedule delay early and schedule delay late. These WTP values can be used to calculate the costs of travel time variability. We apply the theoretical results to the scheduling model and design the choice experiment using measures of efficiency (S-efficiency and WTP-efficiency). In the simulation exercise, we show that the designs based on these efficiency criteria perform on average better than the designs used in the literature in terms of the WTP for travel time, schedule delay early, and schedule delay late variables. However, the gains in efficiency decrease in the number of respondents. Surprisingly, the orthogonal design performs rather well in the example we demonstrated.

This study explores the importance of application search engine (ASE) technology in the omni-channel strategy. For this purpose, this chapter firstly explains the concepts of the omni-channel and the search engines and the importance of them. Then, omni-channel in the framework of ASEs is discussed. Finally, recommendations for further researches are presented.

In an aircraft the combination with an engine and a propeller of streamlining devices comprising a streamlined spinner section rotatably mounted on the engine shaft forward of the propeller, means to inhibit rotation of said spinner with the shaft, a streamlined section movable with the propeller and constituting a continuation of the streamlining of the spinner section, a streamlined fixed section secured to the engine and constituting a continuation of the spinner and rotatable streamlined section and a cowling surrounding and secured to the engine and formed to provide a narrow air inlet slot between said cowling and the fixed section to admit a limited flow of air about the engine and outlets for the exit of said air, said cowling including outlets for the exit of substantially all the air entering said inlet slot.

To develop a decision support system (DSS) and improved management criteria for operating dispenser‐based single‐piece automatic order picking systems (AOPS) in distribution centers, able to reduce the need for manual decision making based on personal experience or subjective judgement.

Simulation was utilized to analyze the relationships between stochastic demand, setup parameters and performances of an AOPS. A set of rules was then defined to cost‐effectively select the values of setup parameters. A DSS was built incorporating the heuristic rules to dynamically update the equipment setup.

Manual management of an AOPS can be poorly efficient even if largely practiced. Significant economic benefits may result from rule‐based equipment setup instead of the traditional manual decision approach. This was verified resorting to a case study referring to the distribution center of a leading pharmaceuticals distributor in Italy. Major performances improvements resulted regarding manual operation by an experienced logistic manager, including a 40 per cent reduction of the cost per picked order line.

The proposed DSS is able to monitor the system behaviour over a specified time window and automatically set the values of the state variables for the next period. It is able to automatically define the set of items to be allocated on to the machine, to select the number of storage locations allocated to each item and set reorder levels and maximum picking quantities for each item, thus greatly simplifying the task of the logistic manager. Utilization of this DSS enables one to maintain a high level of picking automation efficiency while drastically cutting the required support personnel, thus significantly improving profit margins of high‐volume high‐rotation distribution centers.

The paper addresses, with original methodology, a practically relevant issue which is neglected in the literature. The paper is aimed at distribution centers managers seeking to improve the performances of AOPS and reduce their operating costs.

The ethics of librarianship has become a topic of increasing interest since the mid‐1970s, as a series of scandals beginning with Watergate seemed to show serious weaknesses in the ethical standards of lawyers and other professionals.

In this chapter, we align two approaches on the multinational enterprise (MNE), that is, research on languages and international business, and micropolitics, in order to establish the language-based underpinnings of micropolitical behavior in the MNE.

This theoretical chapter departs from a social, relational perspective on power relationships in the MNE. Power relationships are constituted in multilingual encounters between different language users.

Our analysis builds on the assumption that the mandated corporate language in the MNE, which often is English, results in a language hierarchy. This hierarchy creates inequality and tension between the languages in use in the MNE. However, language agents, that is, headquarters, foreign subsidiaries, teams, managers, and employees can – individually or collectively – change, challenge, and disrupt this hierarchical order. Their micropolitical behavior is essential for action as it redraws organizational structure, alters the degree of foreign subsidiary autonomy and control, redefines the privileged and the disadvantaged groups in the MNE, and reinforces subgroup formation and dynamics in multilingual teams.

We highlight the important role played by language agents who sit at the interstices of organizational networks in the MNE. The interplay between their actions and motivations and their historical and situational contexts represents an underexplored and undertheorized area of study.

Senior managers in MNEs are frequently very competent or native users of the English language. Appreciating the continued existence of various languages has implications for how different MNE units can effectively connect and operate as an overall entity.

This chapter highlights the languages-based mechanisms that underpin power relationships in the MNE.

This research article aims to understand the role of brand image, service quality and price (charge) in revitalising functional mass brands into prestigious mass brands.

The empirical research framework was developed by synthesising the past literature on masstige marketing and brand extension. Data was collected using a survey questionnaire from 396 respondents availing M-Wallet. Structural equation modelling was used to validate the brand revitalization attributes; further, the binary logistic regression model examined the effect of revitalization attributes on the chance of increasing customer's perception of masstige.

The exploratory study suggested brand image, service quality and value for money pricing as essential attributes to revitalize mass brands into masstige brands; furthermore, path analysis validated the positive effects of these attributes on the perception of masstige. The proposed binary logistic regression model suggested brand image as sensitive attributes, increasing the odds ratio by 9.39 times in favour of perceiving brand as masstige followed by the perceived service quality that is 5.87 times. The prediction capability of the proposed binary logistic regression model is found to be 96%.

The methodology of this study provides the basis for future researchers to advance research on masstige. This study will assist the marketers of mass brands to make better marketing decisions related to how masstige image can be sustained or a new or less known brand can be revitalized into a prestigious brand.

This study is the first to provide empirical evidence of how the mass brand can be revitalised as masstige brands by considering image, quality and price attributes.

Since the emergence of e-commerce uprooted traditional brick-and-mortar retail in the early 2000s, many retailers have reacted by first independently servicing both the online and in-store channels (multichannel retailing) and subsequently integrating both channels to provide a seamless front-end customer interface (omnichannel retailing). Accordingly, firms had to adjust their logistics and supply chain management (SCM) processes from fulfilling orders for each channel separately to integrating channels on the back-end (omnichannel fulfillment). This development is mirrored by an emerging stream of academic publications. The purpose of this paper is to provide a snapshot of the current state of omnichannel fulfillment research via a systematic literature review (SLR) in order to identify omnichannel fulfillment strategies and to establish an agenda for future inquiry.

This SLR is based on 104 papers published in peer-reviewed journals through December 2018. It employs a six-step process, from research question to the presentation of the insights.

All selected manuscripts are categorized based on demographics such as publication date, outlet, methodology, etc. Analysis of the manuscripts suggests that the integration of fulfillment channel inventory and resources is becoming an important objective of fulfillment management. Appropriate omnichannel strategies based on retailer attributes are not well understood. Industry specific research has been conducted necessitating generalized extension for retailers. These findings provide a clear opportunity for the academic community to take more of the lead in terms of knowledge creation by proposing paths for industry pursuit of channel integration to successfully implement omnichannel fulfillment. Opportunities for future inquiry are highlighted.

This manuscript proposes a definition of omnichannel fulfillment strategies and identifies fulfillment links that are used interchangeably across channels as the key delimiter between omnichannel fulfillment strategies and related concepts. Six omnichannel fulfillment strategies from the extant literature are identified and conceptualized. Future research opportunities around omnichannel fulfillment, potential interdependencies between the established strategies and their impact on related SCM issues such as distribution and reverse logistics are detailed.