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Computer‐based fax‐on‐demand systems will answer the phone and guide a caller through voice menu selections. The caller identifies the information desired by pressing the numbers on the touchtone keypad of the phone. The fax‐on‐demand system then delivers the information to the caller through either a one‐call or two‐call/call‐back method. Fax‐on‐demand is often confused with two other forms of fax messaging—fax broadcasting and fax mail. Fax broadcasting is the sending of one document to many locations; fax mail is similar to voice mail except fax messages instead of voice messages are delivered to one or more specified mail boxes. In contrast, fax‐on‐demand can better be characterized as a response application that allows individual callers to use touchtone telephones to access a database and other information, which can then be delivered to the caller's fax machine.

This study explores the association between individual investor information demand and two measures of market uncertainty – aggregate market uncertainty and disaggregate industry-specific market uncertainty. It extends the literature by being the first to empirically examine investor information demand and disaggregate market uncertainty.

This paper constructs a measure of information search by using the Google Search Volume Index and computes measures of aggregate and disaggregate market uncertainty using institutional investors' trading data from Ancerno Ltd. The relation between market uncertainty, as measured by trading disagreements among institutional investors, and information search is analyzed using an OLS (Ordinary Least Squares) regression model.

This paper finds that individual investor information demand is significantly and positively correlated with aggregate market uncertainty but not associated with disaggregated industry uncertainty. The findings suggest that individual investors may not fully incorporate all relevant uncertainty information and that ambiguity-related market pricing anomalies may be more associated with disaggregate market uncertainty.

This study presents an examination of aggregate and disaggregate measures of market uncertainty and individual investor demand for information, shedding light on the efficiency of the market in incorporating information. A limitation of our study is that our data for market uncertainty is based on investor trading disagreement from Ancerno, Ltd. which is only available till 2011. However, we believe the implications are generalizable to the current time period.

This study provides the first concurrent empirical assessment of investor information search and aggregate and disaggregate market uncertainty. Prior research has separately examined information demand in these two types of market uncertainty. Thus, this study provides information to investors regarding the importance of assessing disaggregate component measures of the market.

This paper is the first to empirically examine investor information search and disaggregate market uncertainty. It also employs a unique data set and method to determine disaggregate, and aggregate, market uncertainty.

Motivated by recent research indicating that the operational performance of an enterprise can be enhanced by building a supporting data-driven environment in which to operate, this paper presents a simulation framework that enables an examination of the effects of applying smart manufacturing principles to conventional production systems, intending to transition to digital platforms.

To investigate the extent to which conventional production systems can be transformed into novel data-driven environments, the well-known constant work-in-process (CONWIP) production systems and considered production sequencing assignments in flowshops were studied. As a result, a novel data-driven priority heuristic, Net-CONWIP was designed and studied, based on the ability to collect real-time information about customer demand and work-in-process inventory, which was applied as part of a distributed and decentralised production sequencing analysis. Application of heuristics like the Net-CONWIP is only possible through the ability to collect and use real-time data offered by a data-driven system. A four-stage application framework to assist practitioners in applying the proposed model was created.

To assess the robustness of the Net-CONWIP heuristic under the simultaneous effects of different levels of demand, its different levels of variability and the presence of bottlenecks, the performance of Net-CONWIP with conventional CONWIP systems that use first come, first served priority rule was compared. The results show that the Net-CONWIP priority rule significantly reduced customer wait time in all cases relative to FCFS.

Previous research suggests there is considerable value in creating data-driven environments. This study provides a simulation framework that guides the construction of a digital transformation environment. The suggested framework facilitates the inclusion and analysis of relevant smart manufacturing principles in production systems and enables the design and testing of new heuristics that employ real-time data to improve operational performance. An approach that can guide the structuring of data-driven environments in production systems is currently lacking. This paper bridges this gap by proposing a framework to facilitate the design of digital transformation activities, explore their impact on production systems and improve their operational performance.

This paper aims to develop a coordination mechanism that can be applied to achieve the channel coordination and information sharing simultaneously in the fresh agri-food supply chain with uncertain demand. It seeks to elucidate how the producer can use an option contract to transfer the risk caused by uncertain demand, impel the retailer to share demand information and improve the performance of supply chain.

An option contract model based on the basic model of fresh agri-food supply chain is introduced to compare the production, profit, risk and information sharing condition of the supply chain in different cases. In addition, a case study focusing on the sale of autumn peaches produced by a local producer is investigated, which provides evidence of the applicability of the authors’ approach.

The optimal option contract can help the supply chain achieve channel coordination and reach Pareto improvement. In the meantime, such a contract will encourage the retailer to share market demand information with producer spontaneously and help maintain the strategic cooperation between two parties.

This paper considers a single-producer, single-retailer system and both of them are risk neutral.

Presented results can be used as suggestions for improving the contract design of fresh agri-food supply chain in China and can also provide references for other countries with similar experiences as China in fresh agri-food production.

This research introduces the option contract into fresh agri-food supply chain and takes information sharing and the risk caused by uncertain demand into consideration.

The purpose of this paper is to explore the performance increase achieved by vendor managed inventory (VMI) under different levels of outside supply capacity, demand uncertainty, and lead time.

The study uses discrete event simulation to explore the performance increase achieved by VMI under different supply chain scenarios.

The analysis suggests that when implementing a VMI program, the capacity restrictions of suppliers have to be taken into consideration even though they have not participated in the program. Furthermore, the results also show that unless the retailer provides additional information to the distributor to resolve the uncertainty, higher levels of uncertainty in market demand create significant reductions in the savings realized by VMI. Finally, this study proves that, regardless of lead time horizons, VMI provides nearly the same level of performance increase as long as the ratio of the retailer's lead time to that of the supplier's remains constant.

This analysis provides a means for practitioners to understand the impact of various environmental and operational factors on the performance increase achieved by VMI so they can better analyze their specific business conditions to prepare their organizations for more successful VMI programs.

Although there is a range of research focusing on VMI, only a few of those have tried to identify the factors that play an important role in the failure of VMI programs. While extending the current literature, this is the first study to explore the impact of outside supply capacity on the performance improvements achieved by VMI.

It is widely known that fast-fashion retailers are struggling to keep up with consumer attention for quick responses within the fashion industry. With the advance of Internet and e-commerce, consumers prefer to purchase online. Online platform information has become an essential source for exploring consumer attention. However, there is often a mismatch between the information provided by retailers and the feedback received from consumers, leading to an imbalance between the supply side and demand side of online information. The purpose of this study is therefore to provide a unified approach to discover consumer attention from the design topic aspect by revealing the information imbalance between supply side and demand side.

To address the issue of online information imbalance and discover consumer attention, this study proposed an approach that focuses on the design topic perspective. The design topic is a collection of design elements that represent a clothing-design feature more comprehensively and accurately compared to a single design element. The proposed approach begins with generating design topics through topic modeling based on online information provided by retailers on e-commerce platforms. Two indicators, influence degree and attention degree, are then used to quantify the intensity of supply information and consumer attention related to design topics. Finally, design topic strategy diagrams are constructed to reveal information imbalance and discover consumer attention.

The experimental case demonstrates the existence of information imbalance, indicating that the intensity of supply information and consumer attention from the perspective of design topics is not uniform, although both follow the Pareto principle. The results of consumer attention distribution with heavy power-law tails are consistent with current research findings. This further demonstrates that the proposed approach is capable of discovering consumer attention in the design topic strategy diagrams.

The issue of information imbalance between retailers and consumers poses a challenge in keeping up with customer attention. The proposed approach offers a practical solution by visually identifying the symptoms of information imbalance and discovering consumer attention through design topic strategy diagrams. This approach provides fast-fashion retailers with a valuable reference to seize market opportunities, improve product design and adjust marketing or management strategies.

This study proposes a novel approach to disclose the issue of information imbalance between supply side and demand side and therefore to discover consumer attention from the perspective of design topics. In addition, guidelines for applying the proposed approach for fast-fashion marketing and management are presented.

This study explores the effects of cognitive load on the propensity to reformulate queries during information seeking on the web.

This study employs an experimental design to analyze the effect of manipulations of cognitive load on the propensity for query reformulation between experimental and control groups. In total, three affective components that contribute to cognitive load were manipulated: mental demand, temporal demand and frustration.

A significant difference in the propensity of query reformulation behavior was found between searchers exposed to cognitive load manipulations and searchers who were not exposed. Those exposed to cognitive load manipulations made half as many search query reformulations as searchers not exposed. Furthermore, the National Aeronautical and Space Administration Task Load Index (NASA-TLX) cognitive load scores of searchers who were exposed to the three cognitive load manipulations were higher than those of searchers who were not exposed indicating that the manipulation was effective. Query reformulation behavior did not differ across task types.

The findings suggest that a dual-task method and NASA-TLX assessment serve as good indicators of cognitive load. Because the findings show that cognitive load hinders a searcher's interaction with information search tools, this study provides empirical support for reducing cognitive load when designing information systems or user interfaces.

The purpose of this paper is to analyze how news about food‐related health risks affects consumers’ demands for safe food products.

By identifying structural breaks in an econometrically estimated demand model, news with permanent impact on demand is distinguished from news with temporary impact. The Danish demand for pasteurized versus shell eggs is used as an illustrative case.

Negative safety news about one product variety can provide significant stimulation to the demand for safe varieties. Severe negative news about the safety of shell eggs induces a permanent increase in the demand for pasteurized eggs, while more moderate negative news influences demand temporarily and to a lesser extent. There is, however, considerable variation in the response to food safety news across socio‐demographic groups of consumers.

The study has focused on the demand for raw eggs. Responses to food safety news may differ across foods. Furthermore, the study abstracts from possible cross‐effects of safety news concerning other foods.

The findings may be utilized for optimization of the timing and targeting of food safety information campaigns.

The paper combines information, food safety and econometric methods to analyze the cross‐impacts between negative food safety news and the demand for safe foods.

Information sharing is an important component of cooperation in supply chain management. However, it has long been debated whether there is value in information sharing, how large the value is, if any, and what factors affect it. The purpose of the paper lies in investigating these three issues by comparing and analyzing 12 information models in supply chains.

To achieve the above purpose, the paper first presents a general information‐sharing model in supply chains and characterizes three major factors in the model (objective, supply chain partnership constraint, information sharing constraint). Based on the general model, 12 representative models are selected from the literature and their relationship and distinctions are compared and analyzed.

By insights from comparative analysis of these representative models, the paper concludes that information sharing in supply chains is valuable. However, the value and affecting factors are dependent on analytical methods. It would be meaningless simply to compare the numerical values.

The framework developed in this paper provides a useful guidance for the practical managers in evaluating and measuring the value of information‐sharing strategies.

The paper critically reviews representative information‐sharing models in supply chains. This work is helpful in answering some questions that have been long debated in this area and in inspiring new endeavors to overcome the limitations of current research.

This paper aims to study the material conscious information network (MCIN) to present new models of clothing products and persons and propose new crowd-designing patterns to reconstruct an improved supply–demand relationship in clothing industry.

This paper aims to study the MCIN to present new models of clothing products and persons and propose new crowd-designing patterns to reconstruct an improved supply–demand relationship in clothing industry.

At last, this paper implements a prototype system of novel e-commerce platform based on the CDCI to illustrate the effectiveness and soundness of the CDCI modeling.

Different from most related works just focusing on the physiology dimension in the matching of customer and clothing, this paper proposes that the dimension of physiology, character, knowledge and experience should be synthetically considered.