Hasil untuk "Business"

C. Baden-Fuller, Stefan Haefliger

Business models are fundamentally linked with technological innovation, yet the business model construct is essentially separable from technology. We define the business model as a system that solves the problem of identifying who is (or are) the customer(s), engaging with their needs, delivering satisfaction, and monetizing the value. The framework depicts the business model system as a model containing cause and effect relationships, and it provides a basis for classification. We formulate the business model relationship with technology in a two-way manner. First, business models mediate the link between technology and firm performance. Secondly, developing the right technology is a matter of a business model decision regarding openness and user engagement. We suggest research questions both for technology management and innovation, as well as strategy.

F. Boons, C. Montalvo, J. Quist et al.

P. Ghauri, K. Grønhaug, Roger Strange

Provisional TOC PART ONE: CHALLENGES AND AMBIGUITIES OF BUSINESS RESEARCH 1. Introduction 2. Research in business PART TWO: THE RESEARCH PROCESS 3. The Process Perspective 4. Research Problems 5. Research Design 6. Measurements 7. Data sources 8. Data Collection 9. Sampling in empirical research 10. Preparation and analysis of data PART THREE: IMPLEMENTATION 11. Quantitative data analysis 12. Qualitative Data analysis 13. Writing the final report

Sinan Aral, Chrysanthos Dellarocas, D. Godes

Wil M.P. van der Aalst

Business Process Management (BPM) research resulted in a plethora of methods, techniques, and tools to support the design, enactment, management, and analysis of operational business processes. This survey aims to structure these results and provide an overview of the state-of-the-art in BPM. In BPM the concept of a process model is fundamental. Process models may be used to configure information systems, but may also be used to analyze, understand, and improve the processes they describe. Hence, the introduction of BPM technology has both managerial and technical ramifications and may enable significant productivity improvements, cost savings, and flow-time reductions. The practical relevance of BPM and rapid developments over the last decade justify a comprehensive survey.

Wendy K. Smith, M. Gonin, Marya L. Besharov

M. Hughes, R. Morgan

Abstract Studies of entrepreneurial orientation tend to examine its three most common features only (risk-taking, innovativeness, and proactiveness), merging these into a gestalt construct of entrepreneurial orientation and then analyzing its effect on business performance. This is in contrast to Lumpkin and Dess who stressed an entrepreneurial orientation is best characterized by five dimensions which can vary independently and may not be equally valuable across performance metrics or at different stages of development. We rectify these problems by examining the independent impact of risk-taking, innovativeness, proactiveness, competitive aggressiveness, and autonomy on performance of young high-technology firms at an embryonic stage of development. Our results support the concerns of Lumpkin and Dess. Only proactiveness and innovativeness have a positive influence on business performance while risk-taking has a negative relationship. Competitive aggressiveness and autonomy appear to hold no business performance value at this stage of firm growth. From these results, we offer implications for managers in addition to guidance for future research.

P. Bansal, Mark R. DesJardine

G. Marcoulides

R. King, Charles I. Plosser, Sergio Rebelo

Thomas L. Wheelen, J. Hunger

N. Bontis, William Chua, Chong Keow et al.

J. Brüderl, Peter Preisendörfer, R. Ziegler

Timothy Bates

A. Massis, J. Kotlar

Esben Rahbek Gjerdrum Pedersen, W. Gwozdz, Kerli Kant Hvass

Giuseppe Altieri, Sabina Laveglia, Mahdi Rashvand et al.

This study aims to evaluate and classify the ripening stages of yellow-fleshed kiwifruit by integrating spectral and physicochemical data collected from the pre-harvest phase through 60 days of storage. A portable near-infrared (NIR) spectrometer (900–1700 nm) was used to develop predictive models for soluble solids content (SSC) and firmness (FF), testing multiple preprocessing methods within a Partial Least Squares Regression (PLSR) framework. SNV preprocessing achieved the best predictions for FF (R²P = 0.74, RMSEP = 12.342 ± 0.274 N), while the Raw-PLS model showed optimal performance for SSC (R²P = 0.93, RMSEP = 1.142 ± 0.022°Brix). SSC was more robustly predicted than FF, as reflected by RPD values of 2.6 and 1.7, respectively. For ripening stage classification, an Artificial Neural Network (ANN) outperformed other models, correctly classifying 97.8% of samples (R² = 0.95, RMSE = 0.08, MAE = 0.03). These results demonstrate the potential of combining NIR spectroscopy with AI techniques for non-destructive quality assessment and accurate ripeness discrimination. The integration of regression and classification models further supports the development of intelligent decision-support systems to optimize harvest timing and postharvest handling.

Nusrat Ehsan, Agha Dawood, Fajar Waheed et al.

Abstract Landfills are the most commonly used Municipal Solid Waste (MSW) disposal method in the world. However, poorly engineered open landfill sites pose significant environmental threats, particularly groundwater contamination from leachate infiltration. In alignment with Sustainable Development Goals (SDGs), SDG 3- Good Health and well-being, Goal 6- Clean water and sanitation (SDG#5), this study conducts a comprehensive hydro-chemical assessment of twenty-four (24) groundwater samples extracted across four georeferenced zones surrounding Sialkot landfill sites, Punjab, Pakistan. A total of 22 physicochemical parameters were analyzed. Findings reveal non-compliance with Punjab Environmental Quality Standards (PEQs) and WHO drinking water guidelines. Elevated heavy metal concentrations- Chromium (Cr), Zinc (Zn), Lead (Pb), and Nickel (Ni) exceeded safe thresholds in all zones, while Cyanide (CN), Manganese (Mn), and Copper (Cu) remained within limits. Metal concentration order was observed as Mg > Zn > Cu > Fe > Pb > Cr > Mn > Ni > CN. Geo-accumulation factor and ecological risk index flagged Zone 1 as critically impacted, particularly by Cr and Ni. Fe levels remained constantly lower than 1 mgL− 1. The health risk assessment using the US EPA probabilistic model showed that the risk of Cr and Ni-related chronic diseases is higher in both adults and children through ingestion and dermal absorption.

Pratyusha Kiran

Streamlined production and innovative retail strategies have enabled the fashion industry to experience rapid growth in recent decades, with its complex global supply chain posing serious environmental and social sustainability challenges. Policymakers and advocacy groups have been demanding a transition toward a sustainable fashion system as awareness about the impact of this industry continues to rise. Although multiple initiatives and alternative business models have emerged in the sociotechnical system of fashion, a sustainable transition in this sector has not yet been realized. Conversely, the fashion system exhibits indications of being locked into unsustainable practices. This article aims to understand the barriers preventing the transition of the fashion industry to a sustainable system from the perspective of the actors within the supply chain. Ethnographic interviews with manufacturers and industry experts in India are leveraged to understand the challenges within the supply chain that are reinforcing the unsustainable practices in this industry. This article highlights the perspective of a developing country in the sustainability discourse. The interview analysis demonstrates that in fashion, brands implement various methods to attain sustainability through certifications or compliance standards in the manufacturing regions while lacking an understanding of local circumstances and contexts. This article argues that the disconnect between certifications and their implementation reinforces unsustainable behaviors in the supply chain instead of addressing them. Furthermore, it asserts that compliance efforts should steer away from the Western definition of sustainability and pivot toward sustainability strategies grounded in the local context of the manufacturing country.

George Tsamis, Georgios Evangelos, Aris Papakostas et al.

One significant digital initiative that is changing Greece’s tax environment is the myDATA platform. The platform, which is a component of the wider digital governance agenda, provides significant added value to enterprises and the tax administration, despite the challenges of adaption. Despite the positive response, we find that the development of the platform could have been carried out quickly and at a significantly lower cost and could have been able to cope much faster with the rapid and necessary changes that the platform will have to comply with. For these reasons, development in WordPress would be considered essential as this CMS platform guarantees a fast and developer-friendly environment. In this publication, as a contribution, we provide all the necessary information to develop a myDATA-like platform in a fast, economical and functional way using the WordPress CMS. Our contribution also contains the analysis of the minimum necessary amount of services of the myDATA platform in order to perform its basic functionalities, the description of the according database relational model, which must be implemented in order to provide the same functionality with the myDATA platform, and the analysis of available methods to quickly create the necessary forms and services. In addition, we study how to develop Artificial Intelligence mechanisms with a success rate reaching up to 90% for automatic tax violation detection algorithms.