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Artificial neural networks and structural equation modeling : marketing and consumer research applications / / Alhamzah Alnoor, Khaw Khai Wah, Azizul Hassan, editors
| Artificial neural networks and structural equation modeling : marketing and consumer research applications / / Alhamzah Alnoor, Khaw Khai Wah, Azizul Hassan, editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (336 pages) |
| Disciplina | 658.8342 |
| Soggetto topico |
Consumers - Research - Data processing
Marketing research - Data processing Neural networks (Computer science) Consumidors Màrqueting Processament de dades Xarxes neuronals (Informàtica) Models d'equacions estructurals |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-19-6509-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- List of Figures -- List of Tables -- Artificial Neural Network and Structural Equation Modeling Techniques: Social Commerce -- Artificial Neural Network and Structural Equation Modeling Techniques -- 1 Introduction -- 2 Methodology -- 2.1 Information Sources -- 2.2 Study Selection -- 2.3 Search Strategy -- 2.4 Eligibility Criteria -- 3 Results and Discussion -- 3.1 Crisis -- 3.2 Organizational Theory -- 3.3 Prediction -- 3.4 Perception -- 3.5 Trust -- 3.6 UTAUT Model -- 3.7 Logistics -- 3.8 Mobile Payment -- 3.9 Social Commerce -- 3.10 Wearable Technology -- 3.11 Technology Acceptance -- 3.12 Cloud Computing -- 3.13 Sustainability -- 4 Conclusion -- References -- Determinants of Social Commerce -- 1 Introduction -- 2 Determinant of Social Commerce -- 2.1 Innovation Barriers -- 2.2 Social Support Theory -- 2.3 Social Network Theory -- 2.4 Elaboration Likelihood Model -- 2.5 Commitment Trust Theory -- 2.6 Theory of Social Presence -- 3 Customers' Intentions of Use Social Commerce -- 4 Discussion and Conclusion -- References -- Technology Acceptance Model in Social Commerce -- 1 Introduction -- 2 Discussion -- 3 Dimensions -- 4 Results -- References -- Social Commerce of Rural Communities -- 1 Introduction -- 2 Social Commerce Definition and Background -- 2.1 Social Commerce Definition -- 2.2 Social Commerce Development -- 3 Rural/Rustic Community Concept -- 4 Social Commerce in Rural/Rustic Communities, Perceived Risk and Trust -- 5 Perceived Risk -- 6 Perceived Trust -- 6.1 Education -- 6.2 Information Credibility -- 6.3 Website Quality -- 6.4 Information Quality -- 6.5 Social Support -- 6.6 Innovativeness -- 6.7 Altruism -- 6.8 Sense of Belonging -- 6.9 Electronic Word-of-Mouth (eWOM) -- 6.10 Self-Enhancement -- 7 Conclusion -- References -- Electronic Word of Mouth and Social Commerce -- 1 Introduction.
2 Concept of Electronic Word of Mouth -- 3 Concept of Social Commerce -- 4 The Difference between Electronic Commerce and Social Commerce -- 5 The Relationship Between eWOM and S-Commerce -- 6 Discussion -- 7 Theoretical Implication -- 8 Managerial Implication -- 9 Conclusion -- References -- Determinants of Customer Intentions to Use Social Commerce -- 1 Introduction -- 2 Social Commerce -- 2.1 Concept of Social Commerce -- 2.2 Factors that Influence on Social Commerce -- 2.3 The Customer Purchasing-Decision Process -- 2.4 Customer Intentions and Social Commerce -- 2.5 Enhancing Consumer Online Purchase Intention Through Perspective of Cognitive Evaluation Theory -- 3 Electronic Word Of Mouth (eWOM) -- 3.1 Concept of eWOM -- 3.2 WOM vs. eWOM -- 3.3 The Stages of eWOM -- 3.4 Social Media and Electronic Word of Mouth (eWOM) -- 3.5 Types of Electronic Word of Mouth and Their Impact on Consumer Attitudes -- 4 Conclusion -- References -- Barriers to Using Social Commerce -- 1 Introduction -- 2 Intentions of Customers -- 3 Social Commerce -- 4 Barriers to Using Social Commerce -- 5 Discussion -- 6 Conclusion -- References -- The Role of BlockChain Adoption and Supply Chain Practices on Social Commerce -- 1 Introduction -- 2 What Blockchain Is? -- 3 The Main Components of Blockchain -- 4 Applications of Blockchain -- 5 Blockchain Modules -- 6 The Concept of Supply Chain -- 7 Software and Supply Chain -- 8 Blockchain Technology as a New Driver in Supply Chain -- 9 The Main Technologies Can Support Both Blockchain and Supply Chain -- 10 The Main Challenges and Solutions Related to Blockchain and Supply Chain -- 11 Conclusion -- References -- Mobile Commerce and Social Commerce with the Development of Web 2.0 Technology -- 1 Introduction -- 2 Social Commerce -- 3 Mobile Commerce -- 4 Mobile Commerce in the Hospitality Sector. 5 Mobile Commerce in the Banking Sector -- 6 Mobile Commerce in the Healthcare Sector -- 7 Mobile Commerce in the Economy Sector -- 8 SEM and ANN Approach in Mobile Commerce -- 9 Discussion and Conclusion -- References -- Artificial Neural Network and Structural Equation Modeling Techniques: Technology of Marketing -- How Electronic Word of Mouth (eWOM) and Trust Affect Customers' Intention -- 1 Introduction -- 2 Literature Review of Electronic Word of Mouth -- 3 Perceived Crowding -- 4 Wearable Technology and eWOM -- 5 Customers' Intention of Using New Channels -- 6 Discussion -- 7 Theoretical Contributions -- 8 Managerial Contributions -- 9 Conclusion -- References -- Mobile Payment Technology -- 1 Introduction -- 2 Architecture for M-Payments -- 3 Technologies Used for Mobile Payments -- 4 Proximity Payments -- 5 Mobile Payment Protocols -- 6 Mobile System -- 7 Mobile Payment Security Issues -- 8 Detection of Malware -- 9 Conclusion -- References -- The Role of Online Advertising in the Intentions of Customers -- 1 Introduction -- 2 Online Advertising -- 3 Effectiveness and Issues of Online Advertising -- 4 Social Commerce -- 5 Trends in Social Commerce Research -- 6 Online Advertising and Customer Purchase Intentions -- 7 Discussion -- 8 Conclusion -- References -- Intention to Use Social Media Technology Among Customers -- 1 Introduction -- 2 Social Media Technologies, Challenges and Opportunities -- 2.1 Social Media Advantages/Opportunities -- 2.2 Social Media Challenges, Risks and Disadvantages -- 3 Managing Customer Relations on Online Products and Services -- 4 Customer Intentions to Use Social Media Technology -- 5 Discussion and Conclusion -- References -- Barriers to Using Mobile Payment Technology -- 1 Introduction -- 2 Concept of Mobile Payment Technology -- 3 Barriers to Using Mobile Payment Technology -- 3.1 Functional Barriers. 3.2 Usage Barrier -- 3.3 Value Barrier -- 3.4 Risk Barrier -- 3.5 Privacy Risk -- 3.6 Security Risk -- 3.7 Financial Risk -- 3.8 Operational Risk -- 3.9 Psychological Barriers -- 3.10 Tradition Barrier -- 3.11 Image Barrier -- 4 Mobile Payment Technology Acceptance -- 4.1 Prominent Technology-Related Models -- 4.2 User Perception and Experience with Mobile Payments -- 4.3 The Technology Acceptance Model -- 4.4 The Innovation Diffusion Theory -- 4.5 The Decision Process of Innovation Adoption -- 4.6 Resistance to Innovation Model -- 5 Mobile Payment Determinants -- 6 Discussion -- 7 Conclusion -- References -- Green Practices in Marketing -- 1 Introduction -- 2 Literature Development -- 2.1 Basic Things About Green Marketing -- 2.2 Characteristics and Green Marketing Mix -- 2.3 The Role of Green Communication -- 2.4 The Green Push-Pull Communication Strategies -- 2.5 The Green Communication Strategies and Pull-Push Effects -- 2.6 Openness of Green Marketing -- 2.7 Industrial Framework -- 2.8 The Relationship Between Altruism and Customer's Intention to Purchase Green Product -- 2.9 Theory of Planned Behavior -- 2.10 Value-Attitude-Behavior Cognitive Hierarchy in Green Marketing -- 2.11 Open Issues and Challenges of Green Practices in Social Commerce -- 2.12 The Practical Challenge for Greening Marketing Mix -- 2.13 Promotion of Green Marketing -- 3 Conclusion -- References -- Artificial Neural Network and Structural Equation Modeling Techniques: Sustainability of Marketing -- Social Responsibility in Marketing -- 1 Introduction -- 2 Marketing Definition -- 3 Corporate Social Responsibility (CSR), Definition and Background -- 4 Types of Corporate Social Responsibility -- 5 Corporate Social Responsibility in Marketing -- 6 CSR Implements in Marketing -- 7 Conclusion -- References -- Sustainability and Social Responsibility in Marketing -- 1 Introduction. 2 Literature Review -- 3 Corporate Social Responsibility in Marketing -- 4 Corporation Efforts in Communicating Their Corporate Social Responsibility Initiatives -- 5 Social Responsibility and Profitability -- 6 Conclusions and Recommendations -- References -- Artificial Neural Network and Structural Equation Modeling Techniques: Future Research Directions -- Artificial Neural Network and Structural Equation Modeling in the Future -- 1 Introduction -- 2 Exploring the Relations Between ANN and SEM -- 3 The Benefits of Structural Equation Modeling and Artificial Neural Network Approach -- 4 Artificial Neural Network and Structural Equation Modeling: Systematic Literature Review -- 5 Recommendations of the Previous Studies for SEM and ANN Analysis -- 6 Suggestions for Future Research -- 7 Conclusion -- References. |
| Record Nr. | UNISA-996499865903316 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Data crush : how the information tidal wave is driving new business opportunities / / Christopher Surdak
| Data crush : how the information tidal wave is driving new business opportunities / / Christopher Surdak |
| Autore | Surdak Christopher |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | New York : , : American Management Association, , [2014] |
| Descrizione fisica | 1 online resource (311 p.) |
| Disciplina | 658.4/038 |
| Soggetto topico |
Information technology - Management
Marketing research - Data processing Business intelligence - Data processing Big data |
| Soggetto genere / forma | Electronic books. |
| ISBN | 0-8144-3375-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | part one. What's driving the data crush? -- part two. The impact on business -- part three. How successful businesses will respond. |
| Record Nr. | UNINA-9910453421303321 |
Surdak Christopher
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| New York : , : American Management Association, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data crush : how the information tidal wave is driving new business opportunities / / Christopher Surdak
| Data crush : how the information tidal wave is driving new business opportunities / / Christopher Surdak |
| Autore | Surdak Christopher |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | New York : , : American Management Association, , [2014] |
| Descrizione fisica | 1 online resource (311 p.) |
| Disciplina | 658.4/038 |
| Soggetto topico |
Information technology - Management
Marketing research - Data processing Business intelligence - Data processing Big data |
| ISBN | 0-8144-3375-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | part one. What's driving the data crush? -- part two. The impact on business -- part three. How successful businesses will respond. |
| Record Nr. | UNINA-9910790730203321 |
|
Surdak Christopher
|
||
| New York : , : American Management Association, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data crush : how the information tidal wave is driving new business opportunities / / Christopher Surdak
| Data crush : how the information tidal wave is driving new business opportunities / / Christopher Surdak |
| Autore | Surdak Christopher |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | New York : , : American Management Association, , [2014] |
| Descrizione fisica | 1 online resource (311 p.) |
| Disciplina | 658.4/038 |
| Soggetto topico |
Information technology - Management
Marketing research - Data processing Business intelligence - Data processing Big data |
| ISBN | 0-8144-3375-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | part one. What's driving the data crush? -- part two. The impact on business -- part three. How successful businesses will respond. |
| Record Nr. | UNINA-9910819805503321 |
|
Surdak Christopher
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||
| New York : , : American Management Association, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Handbook of online marketing research / Joshua Grossnickle, Oliver Raskin
| Handbook of online marketing research / Joshua Grossnickle, Oliver Raskin |
| Autore | Grossnickle, Joshua |
| Pubbl/distr/stampa | New York : McGraw-Hill, c2001 |
| Descrizione fisica | xxi, 433 p. : ill ; 24 cm |
| Disciplina | 658.8302854678 |
| Altri autori (Persone) | Raskin, Oliverauthor |
| Soggetto topico | Marketing research - Data processing |
| ISBN | 0071361146 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991003083289707536 |
|
Grossnickle, Joshua
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| New York : McGraw-Hill, c2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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Handbook of research on intelligent techniques and modeling applications in marketing analytics / / Anil Kumar, Manoj Kumar Dash, Shrawan Kumar Trivedi, and Tapan Kumar Panda, editors
| Handbook of research on intelligent techniques and modeling applications in marketing analytics / / Anil Kumar, Manoj Kumar Dash, Shrawan Kumar Trivedi, and Tapan Kumar Panda, editors |
| Pubbl/distr/stampa | Hershey, Pennsylvania : , : Business Science Reference, , 2017 |
| Descrizione fisica | PDFs (427 pages) : illustrations |
| Disciplina | 658.8/3 |
| Collana | Advances in Business Information Systems and Analytics (ABISA) Book Series |
| Soggetto topico |
Marketing research
Marketing research - Data processing |
| Soggetto non controllato |
Computational intelligence
Consumer analytics Customer location data E-commerce Fuzzy clustering Online marketing Predictive analytics |
| ISBN | 1-5225-0998-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
A new perspective on RFM analysis / Mohammad Hasan Aghdaie, Parham Fami Tafreshi -- A novel approach to segmentation using customer locations data and intelligent techniques / Basar Öztaysi [and 3 others] -- Fuzzy clustering: an analysis of service quality in the mobile phone industry / Mashhour H. Baeshen, Malcolm J. Beynon, Kate L. Daunt -- An analysis of the interactions among the enablers of information communication technology in humanitarian supply chain management: a fuzzy-based relationship modelling approach / Gaurav Kabra, A Ramesh -- Auto associative extreme learning machine based hybrids for data imputation / Chandan Gautam, Vadlamani Ravi -- Multi-criteria decision making in marketing by using fuzzy rough set / Tapan Kumar Das -- Fuzzy multi-objective association rule mining using evolutionary computation / Ganghishetti Pradeep, Vadlamani Ravi -- Improved seating plans for movie theatre to improve revenue: an integrated best worst method with EMSR-B / Kedar Pandurang Joshi, Nikhil Lohiya -- Applications of the stochastic multicriteria acceptability analysis method for consumer preference study / Tadeusz Trzaskalik [and 3 others] -- Modeling consumer opinion using RIDIT and grey relational analysis / Rohit Vishal Kumar, Subhajit Bhattacharyya -- Sentiment analysis as a tool to understand the cultural relationship between consumer and brand / Nicola Capolupo, Gianpaolo Basile, Giancarlo Scozzese --
Improving customer experience using sentiment analysis in e-commerce / Vinay Kumar Jain, Shishir Kumar -- Adoption of online marketing for service SMEs with multi-criteria decision-making approach / Lanndon Ocampo [and 3 others] -- E-retailing from past to future: definitions, analysis, problems, and perspectives / Zehra Kamisli Ozturk, Mehmet Alegoz -- Fuzzy time series: an application in e-commerce / Ali Karasan, Ismail Sevim, Melih Çinar -- Understand the frequency of application usage by smartphone users: door is open, but closes quickly / Geetika Jain, Sapna Rakesh -- Car safety: a statistical analysis for marketing management / António Carrizo Moreira, Monica Gouveia, Pedro Macedo -- Banking credit scoring assessment using predictive K-nearest neighbour (PKNN) classifier / Saroj Kanta Jena, Anil Kumar, Maheshwar Dwivedy -- Prediction of the quality of fresh water in a basin / Sira M. Allende [and 4 others] -- Operating commodities market by automated traders / Fodil Laib, Mohammed Said Radjef. |
| Record Nr. | UNINA-9910148745503321 |
| Hershey, Pennsylvania : , : Business Science Reference, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Learning Einstein Analytics [[e-book] ] : unlock critical insights with Salesforce Einstein Analytics / / Santosh Chitalkar
| Learning Einstein Analytics [[e-book] ] : unlock critical insights with Salesforce Einstein Analytics / / Santosh Chitalkar |
| Autore | Chitalkar Santosh |
| Pubbl/distr/stampa | Birmingham, England : , : Packt Publishing, , 2018 |
| Descrizione fisica | 1 online resource (221 pages) : illustrations |
| Disciplina | 658.8002854678 |
| Soggetto topico |
Sales management - Data processing
Marketing research - Data processing |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-78847-818-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910466417703321 |
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Chitalkar Santosh
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| Birmingham, England : , : Packt Publishing, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Learning Einstein Analytics [[e-book] ] : unlock critical insights with Salesforce Einstein Analytics / / Santosh Chitalkar
| Learning Einstein Analytics [[e-book] ] : unlock critical insights with Salesforce Einstein Analytics / / Santosh Chitalkar |
| Autore | Chitalkar Santosh |
| Pubbl/distr/stampa | Birmingham, England : , : Packt Publishing, , 2018 |
| Descrizione fisica | 1 online resource (221 pages) : illustrations |
| Disciplina | 658.8002854678 |
| Soggetto topico |
Sales management - Data processing
Marketing research - Data processing |
| ISBN | 1-78847-818-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910797092803321 |
|
Chitalkar Santosh
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||
| Birmingham, England : , : Packt Publishing, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Learning Einstein Analytics [[e-book] ] : unlock critical insights with Salesforce Einstein Analytics / / Santosh Chitalkar
| Learning Einstein Analytics [[e-book] ] : unlock critical insights with Salesforce Einstein Analytics / / Santosh Chitalkar |
| Autore | Chitalkar Santosh |
| Pubbl/distr/stampa | Birmingham, England : , : Packt Publishing, , 2018 |
| Descrizione fisica | 1 online resource (221 pages) : illustrations |
| Disciplina | 658.8002854678 |
| Soggetto topico |
Sales management - Data processing
Marketing research - Data processing |
| ISBN | 1-78847-818-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910822389503321 |
|
Chitalkar Santosh
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||
| Birmingham, England : , : Packt Publishing, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Marketing analytics : data-driven techniques with Microsoft Excel / / Wayne L Winston
| Marketing analytics : data-driven techniques with Microsoft Excel / / Wayne L Winston |
| Autore | Winston Wayne L |
| Pubbl/distr/stampa | Indianapolis, Indiana : , : John Wiley & Sons, Incorporation, , 2014 |
| Descrizione fisica | 1 recurso en línea (722 páginas) : ilustraciones |
| Disciplina | 658.80072 |
| Soggetto topico | Marketing research - Data processing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-118-41730-5
1-118-43935-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Introduction; Part I Using Excel to Summarize Marketing Data; Chapter 1 Slicing and Dicing Marketing Data with PivotTables; Analyzing Sales at True Colors Hardware; Analyzing Sales at La Petit Bakery; Analyzing How Demographics Affect Sales; Pulling Data from a PivotTable with the GETPIVOTDATA Function; Summary; Exercises; Chapter 2 Using Excel Charts to Summarize Marketing Data; Combination Charts; Using a PivotChart to Summarize Market Research Surveys; Ensuring Charts Update Automatically When New Data is Added; Making Chart Labels Dynamic
Summarizing Monthly Sales-Force RankingsUsing Check Boxes to Control Data in a Chart; Using Sparklines to Summarize Multiple Data Series; Using GETPIVOTDATA to Create the End-of-Week Sales Report; Summary; Exercises; Chapter 3 Using Excel Functions to Summarize Marketing Data; Summarizing Data with a Histogram; Using Statistical Functions to Summarize Marketing Data; Summary; Exercises; Part II Pricing; Chapter 4 Estimating Demand Curves and Using Solver to Optimize Price; Estimating Linear and Power Demand Curves; Using the Excel Solver to Optimize Price Pricing Using Subjectively Estimated Demand CurvesUsing SolverTable to Price Multiple Products; Summary; Exercises; Chapter 5 Price Bundling; Why Bundle?; Using Evolutionary Solver to Find Optimal Bundle Prices; Summary; Exercises; Chapter 6 Nonlinear Pricing; Demand Curves and Willingness to Pay; Profit Maximizing with Nonlinear Pricing Strategies; Summary; Exercises; Chapter 7 Price Skimming and Sales; Dropping Prices Over Time; Why Have Sales?; Summary; Exercises; Chapter 8 Revenue Management; Estimating Demand for the Bates Motel and Segmenting Customers; Handling Uncertainty Markdown PricingSummary; Exercises; Part III Forecasting; Chapter 9 Simple Linear Regression and Correlation; Simple Linear Regression; Using Correlations to Summarize Linear Relationships; Summary; Exercises; Chapter 10 Using Multiple Regression to Forecast Sales; Introducing Multiple Linear Regression; Running a Regression with the Data Analysis Add-In; Interpreting the Regression Output; Using Qualitative Independent Variables in Regression; Modeling Interactions and Nonlinearities; Testing Validity of Regression Assumptions; Multicollinearity; Validation of a Regression; Summary ExercisesChapter 11 Forecasting in the Presence of Special Events; Building the Basic Model; Summary; Exercises; Chapter 12 Modeling Trend and Seasonality; Using Moving Averages to Smooth Data and Eliminate Seasonality; An Additive Model with Trends and Seasonality; A Multiplicative Model with Trend and Seasonality; Summary; Exercises; Chapter 13 Ratio to Moving Average Forecasting Method; Using the Ratio to Moving Average Method; Applying the Ratio to Moving Average Method to Monthly Data; Summary; Exercises; Chapter 14 Winter's Method; Parameter Definitions for Winter's Method Initializing Winter's Method |
| Record Nr. | UNINA-9910464768703321 |
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Winston Wayne L
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| Indianapolis, Indiana : , : John Wiley & Sons, Incorporation, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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