ABSTRACT
Background: In the current knowledge age, the performance of logistics firms increasingly depends on knowledge and capabilities they can leverage in value-creation processes. The objective of this paper is to investigate the relationship between knowledge-based human resource management (HRM) practices and organizational performance mediated by logistics capability. Methods: Data from 93 small Finnish logistics service providers was collected by a questionnaire survey. Structural equation modeling and partial least squares analysis were used to test the hypothesized relationships between HRM practices and the organizational performance of logistics companies, as well as the mediating impact of logistics capability. Results: The results demonstrate that logistics capability fully mediates the relationship between HRM practices and the organizational performance of small logistics companies. Each of the three knowledge-based HRM practices-knowledge-based recruitment, training and development, and motivation-significantly influences logistics capability, which is, in turn, associated with the organizational performance of companies. Conclusions: This paper is one of the few among discussing knowledge-based HRM practices in logistics service research. The paper contributes to the literature on logistics by demonstrating the value of knowledge-based HRM practices in acquiring, developing, and leveraging knowledge to create organizational capabilities and ensure organizational performance. This study provides an improved understanding of the role of HRM and the resulting logistics capability in the performance of small logistics service companies.
ABSTRACT
In a modern era of unprecedented events, such as the COVID-19 pandemic, energy matters now more than ever. What was previously impossible is now a challenge that should be met with measured risk and a mitigation plan. In early 2020, a service company pursued a solution to provide a compact surface well test (SWT) package for an extended well test (EWT) on an offshore production platform in the Zafaraana field with extremely high concentrations of H2S. The solution involved proper treatment and safe delivery of well effluent within acceptable H2S limits to a floating production storage and offloading (FPSO) facility. The EWT was to be installed for a long period to allow production from the reservoir, treatment of the effluent using H2S scavenger, and delivery to the FPSO facility by means of electric transfer pumps. This was the only way to produce because the FPSO facility could not accommodate the high H2S concentrations from the reservoir. A further challenge was that it was a simultaneous operation (SIMOPs) wherein the rig was engaged in drilling and completion activities of other wells on the same offshore platform;operational conflicts were identified during the HAZOP/HAZID meeting to help mitigate potential issues. Copyright © 2023, Society of Petroleum Engineers.
ABSTRACT
Due to climate change, the EU Green deal and initiatives from Glasgow COP 26 require intensive mitigation measures toward decarbonisation of the buildings sector. One of the biggest challenges for achieving CO2 reduction goals will be the residential sector, especially multi residential buildings. Although there are well-known technologies and energy efficiency (EE) measures that can greatly contribute to decarbonisation of buildings, experience shows that the main barriers for implementation of EE measures originate from the potential client side and have social, economic and regulatory character. These barriers include: lack of awareness about climate change and necessity for urgent actions and long payback period for investment. On the other hand, market and ESCO company side barriers predominantly have economic and technical character, such as a lack of integrator who has professional capability to implement deep renovation projects as well as financial capability for investing in energy service through ESCO model with a long return of investment. Although there is different definition of ESCO model in the world and it is evolving and the model has been implemented for decades there is a little progress in implementation of such model in multi residential building sector. Additionally, there is a necessity for deep renovation of buildings where ESCO model is not desirable due to long payback period. However, there is a new reality now after two years of COVID pandemic and recent EU decision to dramatically decrease its dependency on fossil fuels through the REPowerEU plan. These have created new circumstances and drivers for intensive rethinking of implementation of ESCO model in multi residential buildings. This paper discusses barriers and drivers with associated risks for implementation of ESCO model in the residential sector and gives future direction of actions for implementation of this model in multi residential buildings. Barriers and drivers discussed in this paper also reflect practice and experience on the ESCO market in Croatia. © 2022 University of Split, FESB.
ABSTRACT
Data forecasting methods are essential in the business world to determine the company's future steps. However, the COVID-19 pandemic has hit the tourism economy hard, resulting in a slump in income. In this study, trials were conducted to analyze the reliability of forecasting methods on data affected by the COVID-19 pandemic. The method used is the Triple Exponential Smoothing method involving two models, namely Additive and Multiplicative. In this paper, the test is carried out using actual data derived from data from a service company engaged in tourist crossing transportation. Each method's alpha, beta, and gamma values are determined based on the parameters that produce the smallest error value. The experiment results show the predictability of the Triple Exponential Smoothing method by measuring the prediction error value based on the Mean Absolute Percentage Error (MAPE) value, which was 7.56% in the Additive model and 10.32% in the Multiplicative model before the pandemic happened. However, both methods' prediction measurements during a pandemic produce poor forecasts with an error percentage above 40%. Meanwhile, during the decline in pandemic cases, the value of the Triple Exponential Smoothing Multiplicative method was closer to the actual data with a prediction error value of 33.02%. Therefore, the Triple Exponential Smoothing Multiplicative method is more resistant and suitable for implementing into a forecasting system with actual data that influences pandemic events. © 2022 IEEE.
ABSTRACT
COVID-19 outbreak has affected the customers’ preferences and purchasing patterns as a result of the restrictive regulations taken by governments. Thus, service companies must adapt to this change by focusing on innovation as a solution to survive this crisis. Therefore, the basic objective of this study is the development of an integrated framework to investigate the impact of digital marketing and customization on service innovation in the context of the COVID-19 crisis. Data were collected from 53 Moroccan companies operating in the healthcare services industry. The data was analyzed, and the theoretical model was validated using Partial least square (PLS) and structural equation model (SEM). The findings show that: integration of digital marketing improves service innovation;customization of service offerings improves service innovation;customization has a higher impact on service innovation compared to digital marketing;and finally, customization has a significant effect on digital marketing. The contribution of this study is to emphasize the roles of customization and digital marketing, during the COVID-19 crisis, on companies’ service innovation so that they can differentiate their offered services and survive the current crisis. © 2021 International Consortium for Electronic Business. All rights reserved.
ABSTRACT
Product Lifecycle Management (PLM) is a business strategy, aiming to streamline the flow of information about products and related processes throughout the whole product Lifecycle such that the right information in the right context at the right time can be made available. Currently, the COVID-19 pandemic meant major improvements to the way service companies operate, changing the schedule and activities of their workers. The introduction of Industry 4.0 also launched emerging technology that could promote certain operations, thus alleviating the consequences of COVID-19. The aim of this research is to, first, investigate how this pandemic has impacted the product lifecycle, and secondly, explore how industry 4.0 technologies can address these challenges by proposing a Digital Smart Agile PLM framework. © 2022, IFIP International Federation for Information Processing.