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Corporate finance studies of mergers and acquisitions have relied mostly on stock price reactions to evaluate the impact of these events. In this paper, we analyze the performance of a sample of merged firms over a ten year period using a managerially controlled efficiency measure, data envelopment analysis (DEA). Our individual firm‐level year‐by‐year analyses indicate that the managerial performance of the merged firms generally improved in the post‐merger period as documented in the earlier studies of mergers and acquisitions. However, there were also a significant number of cases where we could not observe improved managerial efficiency using this less aggregated approach. We conclude that DEA based disaggregated approaches are useful tools in the hands of corporate governance boards with an interest in yearly or even quarterly managerial performance at the individual firm level.

This paper aims to present an extension of price sensitive measurement (PSM) combined with activity-based costing (ABC) for supporting activity-based pricing approaches in the small and medium-sized restaurants.

The joint model of PSM and ABC is applied to the fixed menu pricing analysis of a typical medium-small Italian restaurant.

The outcomes confirm the potential of the activity-based pricing approach for supporting pricing decision-making in the small and medium-sized restaurants. However, the complexity of the model for these contexts suggests testing simplified versions of ABC, proposed for other sectors, to exploit integration with PSM. Further, the authors find evidence of the need to further investigate the role of informal conditions, characterizing small-medium enterprises, which may play for the successful implementation of the approach proposed.

There is no analysis using the suggested approach for supporting menu pricing in medium-small restaurants. This case study contributes to the literature on activity-based pricing for small and medium-sized restaurants, based on the ABC approaches.

Because communication channels are inherently unique, they may differentially affect customers depending on their preferred communication style. Therefore, the information that firms provide might not have the intended effect, which is to increase program loyalty. The purpose of the current study is to present a marketing communication model that focuses on promoting program loyalty via self-congruity with the communication style of information channels.

The study introduces a self-congruity theory-based structural equation model, which is validated through an online sample of 575 respondents. The model begins with communication style and investigates its impact on satisfaction and loyalty in relation to hotel loyalty program members.

The model confirms that different forms of communication have varying levels of relevance to program loyalty. Communication style, information quality, self-congruity and satisfaction are all significant predictors of program loyalty.

Management can cultivate a community of loyal program members through the recognition of self-image congruence and its relationship with communication style, along with a solid understanding of target markets.

Despite the apparent influence that communication has on loyalty, very little research evaluates the typologies (firm-created and customer-created), dimensions (electronic and in-person) and attributes of information in terms of their effects on program loyalty.

The paper examines financial resilience responses/capacities of governments from Liberia, Sierra Leone and Ghana in relation to COVID-19. It highlights the governments’ fiscal, budgetary and actions as either anticipatory or coping mechanisms towards the pandemic.

Multiple case studies and secondary data were used, including official government documentation/records, expert views, policy publications by supranational organisations and international financial institutions and media reports. Textual analysis was conducted to evaluate the case countries’ resilience.

The paper highlights how governmental budgetary initiatives, including repurposing the manufacturing sector, can sustain businesses, aid social interventions and reduce vulnerability during health crises. In addition, the paper highlights that external borrowing continues to be indispensable in the financial and budgetary initiatives of the case countries. The paper finds that lessons learnt from the Ebola Virus Disease (EVD) in West Africa within the last decade have shaped the anticipatory resilience capacities of the case countries against COVID-19.

The paper uses the notion of resilience, the dimensions of the resilience framework and the resource-based view (RBV) theory to unearth resilience patterns. This sort of combined approach is new to financial resilience studies.

This study aims to propose a risk-induced game theoretic forecasting model to predict average daily rate (ADR) under COVID-19, using an advanced recurrent neural network.

Using three data sets from upper-midscale hotels in three locations (i.e. urban, interstate and suburb), from January 1, 2018, to August 31, 2020, three long-term, short-term memory (LSTM) models were evaluated against five traditional forecasting models.

The models proposed in this study outperform traditional methods, such that the simplest LSTM model is more accurate than most of the benchmark models in two of the three tested hotels. In particular, the results show that traditional methods are inefficient in hotels with rapid fluctuations of demand and ADR, as observed during the pandemic. In contrast, LSTM models perform more accurately for these hotels.

This study is limited by its use of American data and data from midscale hotels as well as only predicting ADR.

This study produced a reliable, accurate forecasting model considering risk and competitor behavior.

This paper extends the application of game theory principles to ADR forecasting and combines it with the concept of risk for forecasting during uncertain times.

This study is the first study, to the best of the authors’ knowledge, to use actual hotel data from the COVID-19 pandemic to determine an appropriate neural network forecasting method for times of uncertainty. The application of Shapley value and operational risk obtained a game-theoretic property-level model, which fits best.

The purpose of this paper is to describe the ageing behaviour of acrylate‐based resins for stereolithography (SL) technology using different test methods and to investigate these effects on polymers.

Controlling the polymer degradation requires an understanding of many different phenomena, including the different chemical mechanisms underlying structural changes in polymer macromolecules, the influences of polymer morphology, the complexities of oxidation chemistry and the complex reaction pathways of polymer additives. Several ageing characterization experiments are given.

The paper covers the ageing process analysis of acrylate‐based polymers. An overview of the ageing behaviour is given, along with the bandwidth of material characteristics for a prolonged lifetime of this material class.

For research and development in the field of rapid prototyping (RP) materials data about ageing behaviour and environmental effects are crucial. The authors show possible methods for measuring these effects and discuss the consequences in material research using a recently developed biocompatible SL resin as an example.

The study of the ageing behaviour of polymers is important for understanding their usability, storage, lifetime and recycling. The presented polymeric formulations are able to meet the growing demand for both soft and stiff manufacturing resin materials in the engineering and medical fields.

The analysis of the ageing behaviour of polymer materials is an important issue for engineering applications, recycling of post‐consumer plastic waste, as well as the use of polymers as biological implants and matrices for drug delivery and the lifetime of an article. The paper gives an overview of details involving ageing behaviour and their meaning for applications of acrylate‐based SL resins and is therefore of high importance to people with interest in long‐term behaviour and ageing of RP materials.

The manufacturing industry sector is one of the dynamic and important productive sectors of the economy. Hence, efforts have been made in the literature to assess the performance of this sector in many countries. In this paper, the business excellence of 19 industrial groups in the manufacturing industrial sector of the Sultanate of Oman is evaluated using data envelopment analysis. Using data for the year 2001, three of the 19 industrial groups, namely refined petro‐products (ISIC code 23), office, accounting/computer machinery (ISIC code 30) and medical precision/optical instruments (ISIC code 33), have been assessed to be operating at the highest level of business excellence. Patterns of efficiency changes in these industrial groups over the time period 1997‐2001 are studied using the Malmquist productivity index (MPI) approach. The average MPI over this period has declined for the entire manufacturing industry, and technology change contributed significantly to this decline in spite of a slight improvement in the technical efficiency change. The industrial group chemicals/chemical products (ISIC code 24) have shown poor performance in terms of technical efficiency and technology change during this period. Hence, it is important to study the technology management practices of this industrial group further, and if necessary to provide further investment to improve technologies.

Under this heading are published regularly abstracts of all Reports and Memoranda of the Aeronautical Research Committee, Reports and Technical Notes of the U.S. National Advisory Committee for Aeronautics, and publications of other similar research bodies as issued

The dilemma of implementing and adopting inter‐organisational systems (IOS) that enable information sharing in an electronic fashion has been regarded as an inevitable issue for the public sector. The majority of previous studies have mainly focused on Central or Federal level organisations, and more importantly applied so‐called old fashion theoretical lenses, hence failed to capture the extensive picture of information sharing in an inter‐organisational and inter‐departmental settings. Therefore, the purpose of this paper is to investigate the barriers and enablers of information sharing in local level in order to clarify why sharing information in local level differs from the central/federal level, and why innovation adoption theories are not sufficient enough to explore an inter‐organisational phenomenon.

A systematic literature review on technology adoption in public sector is carried out in order to select a suitable theoretical lens. Hence, based on previous research on information sharing in public/private sector, inter‐organisational systems adoption, and inter‐departmental collaboration, the factors and participation phases that are relevant to the context of local government have been summarised and discussed.

This paper proposes a novel conceptual framework that can be used as a tool for decision‐making while sharing information electronically. The framework consists of four main levels: investigation and presentation of factors influencing EIS in LGAs based on external environment, organisational capacity, technology environment, EIS characteristics, and inter‐departmental environment; investigation and presentation of the processes that an LGA department should carry out to decide whether to share information with another department; mapping of the influential factors on the participation phases; and prioritisation of the factors influencing EIS in LGAs in different decision‐making phases.

The proposed framework should be tests and validated through empirical cases, focusing on inter‐departmental collaboration in local level.

From theoretical perspective, almost none of the previous research have investigated the effectiveness of DOI or TOE in studying the adoption of inter‐organisational innovation. Also, they have failed to examine and prioritise the importance of the factor influencing EIS on the participation phases.